Monday

April 21, 2014

April 21, 2014

Number of results: 16,583

**statistics**

A survey was taken in various Statistics classes and the following regression equation was obtained regarding the height and weight of students in the Statistics classes. Regression equation Height = 56.8 + 0.0712 Weight Given the regression equation above, what is the correct...
*Wednesday, April 9, 2014 at 2:12pm by Mea*

**Statistics**

For the regression equation, Y=bX+a, which of the following X,Y points will be on the regression line? a, a,b b, b,a c, 0,a d, 0,b
*Friday, October 26, 2012 at 3:54am by Robbie*

**Statistics**

Determine the regression line of x+2y-5=0 and 3x+3y-8=0 (i) y on x and (ii) x on y, (iii) Find r using the regression coefficients
*Monday, September 26, 2011 at 8:43am by Deepti*

**Statistics**

Is is possible for the regression equation to have none of the actual (observed) data points located on the regression line?
*Sunday, December 2, 2012 at 11:32pm by Julia*

**Statistics - Correlation Coefficient/Regression**

y = -15.4 + 14.4x the correlation coefficient is correct because it is geomatric mean of two regression coefficient the second regression coefficient is 0.066428.
*Saturday, June 21, 2008 at 8:35pm by saqib*

**Statistics**

A set of X and Y scores has SSx=10, SSY=20, and SP=8, what is the slope for the regression equation? a. 8/10 b. 8/20 c. 10/8 d. 20/8 For the regression equation, Y=bX+a, which of the following X,Y points will be on the regression line? a. a,b b. b,a c. 0, a d. 0, b
*Monday, October 22, 2012 at 7:54pm by Robbie*

**Statistics**

Hi Can anyone tell me in a regression model are the values of 0.13 0.10 A good indication of of the total y explained in a regression model ?? Thanks.
*Thursday, June 4, 2009 at 4:31pm by Gary*

**statistics**

For the multiple regression equation ŷ = 100 + 20x©û - 3x©ü + 120x©ý a. Identify the y-intercept and partial regression coefficient. b. If x©û = 12, x©ü = 5, and x©ý c. If x©ý were to increase by 4, what change would be necessary in x©ü in order for the estimated value of...
*Sunday, August 16, 2009 at 3:11pm by Yadira M*

**college statistics**

construct a scatterplot for x,y values x 1 2 3 4 5 y 0.5 0.0 -0.5-1.0-1.5 what would be the slope of this regression line would the correlation between xand y be postive oe negative how would you interpret these data in terms of regression
*Saturday, May 26, 2012 at 3:28pm by melba*

**Statistics**

http://easycalculation.com/statistics/learn-regression.php
*Friday, May 20, 2011 at 8:47pm by TutorCat*

**Statistics**

http://easycalculation.com/statistics/learn-regression.php
*Friday, May 20, 2011 at 8:02pm by TutorCat*

**Math**

dunno about your calculator, but at http://www.alcula.com/calculators/statistics/linear-regression/ we get y = 11.33x - 0.90
*Thursday, January 23, 2014 at 9:03am by Steve*

**Math**

maybe it'd be easier without all the zeros: 1 18 2 37 3 48 4 66 y=17x comes close. The errors are 1 +1 2 +3 3 +1 4 -2 Use your favorite regression tool for a more exact line. The best-fit line is y = 15.5x + 3.5 a good calculator and grapher is at http://www.alcula.com/...
*Thursday, January 16, 2014 at 6:06pm by Steve*

**STATISTICS**

A) If a regression experiment has correlation coefficient r= 0.75, what precent of total variation is explained by the regression? B) if 85% of total variation is explained by the regression, and there is an inverse relationship between y and x, then what is the correlation ...
*Sunday, April 17, 2011 at 6:12pm by SROBSON*

**Statistics**

The following linear equation, y = b0 + b1x, is a regression line with y-intercept b0 and slope b1. Define These Terms 1) correlation coefficient 2) Linear regression equation
*Thursday, May 19, 2011 at 6:25pm by Leslie*

**statistics**

If the correlation coefficient is -0.54, what is the sign of the slope of the regression line? - As the correlation coefficient decreases from 0.86 to 0.81, do the points of the scatter plot move toward the regression line, or away from it
*Thursday, October 4, 2012 at 11:01am by mom*

**college statistics**

if the correlation co-efficient is o.32 what is the sign of the slope regression line as the correlation co efficient decreases from 0.78 to 0.71 do the oints of the scatter plot move toward the regression line or away from it
*Saturday, May 26, 2012 at 10:19am by melba*

**Statistics**

Regression analysis is a statistical procedure used to find the relationship between a dependent variable and one or more independent variables. Multiple regression analysis requires there be two or more independent variables. Under a logit regression, the dependent variable ...
*Tuesday, July 22, 2008 at 10:04pm by economyst*

**statistics**

OK, since x = acres of land and A = acres of land, solve the least squares regression formula for x. Your formula will then be x =... instead of y = ... Once you have solved the regression formula for x, you will then be able to substitute 1.2P for x because A = x. That should...
*Monday, July 7, 2008 at 8:34pm by MathGuru*

**Statistics**

Using an online calculator, I have the following: 12 data pairs (x,y): ( 12.0 , 24.0 ); ( 14.0 , 30.0 ); ( 15.0 , 36.0 ); ( 18.0 , 38.0 ); ( 20.0 , 65.0 ); ( 16.0 , 44.0 ); ( 14.0 , 36.0 ); ( 13.0 , 30.0 ); ( 18.0 , 39.0 ); ( 19.0 , 76.0 ); ( 20.0 , 80.0 ); ( 22.0 , 85.0 ); ...
*Thursday, May 30, 2013 at 8:12pm by MathGuru*

**statistic**

You would need to determine a regression equation for this data. Linear regression determines the best-fitting straight line through the points. A regression equation helps you make predictions for y based on the value of x.
*Tuesday, December 10, 2013 at 11:55pm by MathGuru*

**statistics in psychology**

Using an online calculator, we have 4 data pairs (x,y): (1,10) (1,8) (2,4) (4,-2) Regression equation: y = a + bx y = 12.3 - 3.67x This is the line of best fit. You can plot the scatter graph using the points above (x,y) to see how close the points are to the regression line...
*Monday, December 16, 2013 at 3:40pm by MathGuru*

**Statistics**

I neep help on two questions! A condition that occurs in multiple regression analysis if the independent variables are themselves correlated is known as: 1. autocorrelation 2. stepwise regression 3. multicorrelation 4. multicollinearity (I think this is the answer) Multiple ...
*Sunday, September 14, 2008 at 10:44pm by Debra*

**statistics**

3. You obtain the following regression statistics for the relationship between defect rate and volume at one of your plants. You have a random sample of results from 160 shifts at the plant.
*Saturday, January 1, 2011 at 11:14pm by john*

**STATISTICS**

The coefficient of determination deals with variation and is a measure of how well any given regression line represents its data. If a regression line passes through every point, all of the variation could be explained. The further the regression line is away from the points, ...
*Sunday, April 17, 2011 at 6:12pm by MathGuru*

**Statistics**

A regression equation was calculated and is given below. The values for Miss America are values such as 0, 1, 2, 3, 4, etc. Regression Analysis: GPA versus Miss America The regression equation is GPA = 3.32 - 0.0890 Miss America b. What is the response variable? The values of ...
*Thursday, July 26, 2012 at 2:54pm by Sheri*

**Statistics**

Using Data Set I State your a priori hypotheses about the sign (+ or −) of each predictor and your reasoning about cause and effect. Would the intercept have meaning in this problem? Explain. Perform the regression and write the estimated regression equation (round off ...
*Tuesday, September 28, 2010 at 12:46pm by Anonymous*

**statistics**

Selected students means you are dealing with a sample from a population. The best you can do with a sample is to estimate the correlation coefficient of the population, or the correlation coefficient of the sample. See the formulas and examples from: http://stattrek.com/...
*Saturday, April 6, 2013 at 5:16pm by MathMate*

**Stats**

For 1): Y(hat) comes from substituting an x value into a regression equation and solving for y(hat). Y(hat) is also called the predicted y value in a regression equation. Let's use an example. Suppose the regression equation is this: y(hat) = 2.75 + .5x If x = 1, then y(hat...
*Tuesday, March 19, 2013 at 10:10pm by MathGuru*

**Statistics**

what is a least squares regression line?
*Sunday, October 28, 2007 at 2:07pm by Anonymous*

**statistics**

How do you calculate the slope and intercept of a regression?
*Tuesday, May 22, 2012 at 8:30pm by Grant*

**Statistics**

Using a sample of recent university graduates, you estimate a simple linear regression using initial annual salary as the dependent variable and the graduate's weighted average mark (WAM) as the explanatory variable. If the regression model has an estimated intercept of 2200 ...
*Friday, May 25, 2012 at 12:17am by Anthony*

**Statistics**

What is the defintion of Logistic Multiple Regression Analysis?
*Tuesday, July 22, 2008 at 10:04pm by John*

**statistics**

Linear Regression In the babies.dta full dataset, generate a covariate called painind defined as 1 if the infant experienced severe pain upon receiving the shot (pain0 = 7) and as 0 otherwise. In Stata, you can use the commands: generate painind = 0 replace painind = 1 if ...
*Monday, January 14, 2013 at 6:26pm by Anonymous*

**statistics**

Well, this is regression analysis... Have a look at the wikipedia article.
*Wednesday, February 10, 2010 at 7:54am by dongo*

**Business Statistics**

Instructions: Prepare your answers using Excel and show your work to get full or partial credit. Question 1: Using the file Wages.xlsx which contains information of working individuals, for a nationwide firm (Value 7 points). a) Run Descriptive Statistics for the variables ...
*Wednesday, December 14, 2011 at 4:12pm by Katie*

**statistics**

You will find the formulas at http://people.hofstra.edu/Stefan_Waner/realworld/calctopic1/regression.html The plotting of the graph is also something you will have to do yourself.
*Monday, May 25, 2009 at 1:17pm by drwls*

**Statistics**

Simple regression Set up a general model and what assumptions are there?
*Monday, April 25, 2011 at 3:21pm by Pipi*

**correlation and regression**

the data given below has y = 3x-5 for its regression equation. find the standard error of estimate
*Tuesday, December 4, 2012 at 4:09pm by reta*

**statistics**

eight pairs of data yield the regression equation y^1=55.8+2.79x. What is the value of y for x=5.6?
*Sunday, November 27, 2011 at 11:09pm by destiny*

**Statistics**

Using the following Minitab output write the straight line (least squares) equation and the correlation coefficient. The regression equation is Sales = 27.2 + 0.252 Exp Predictor Coef SE Coef T P Constant 27.195 5.781 4.70 0.005 Exp 0.2517 0.4201 0.60 0.575 S = 8.97833 R-Sq = ...
*Wednesday, March 6, 2013 at 7:06pm by BettieLee*

**STATISTICS**

TRUE OR FALSE? Simple regression cannot be applied when r of two variables is very low.
*Friday, September 13, 2013 at 2:22pm by Marian*

**Economics**

1) In using regression analysis for making predictions what are the assumptions involved. 2 What is a simple linear regression model? 3) What is a scatter diagram method?
*Sunday, November 26, 2006 at 3:33pm by Sardar Hakim *

**Statistics**

Find the regression line for this data set. x y 0 23 2 27 2.3 29 4.1 32 5 35
*Friday, May 20, 2011 at 8:02pm by Phillip*

**Statistics Help!**

1. What does a stepwise regression analysis do? 2. What tests are used for longitudinal studies with 1 or more dependent variables?
*Thursday, December 20, 2012 at 1:55pm by Anonymous*

**Statistics**

The ages (in years) of 10 infants and the number of hours each slept in a day Age, x: 0.1, 0.2, 0.4, 0.7, 0.6, 0.9, 0.1, 0.2, 0.4, 0.9 Hours slept, y: 14.9, 14.5, 13.9, 14.1, 13.9, 13.7, 14.3, 13.9, 14.0, 14.1 Find the equation of the regression line. Then use the regression ...
*Wednesday, April 4, 2012 at 4:57pm by Amanda*

**math - regression line - thank you**

The question states: Plot the regression line from D = 40 to D = 300. My question: Do you extend the line beyond those 2 points (as in going towards the axis) or does the regression line just connect those 2 points like a line segment? Thank you
*Thursday, January 31, 2013 at 7:37am by Sejul*

**statistics**

In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. (a) Write the fitted regression equation. (b) State the degrees of freedom for a twotailed test for zero slope, and use Appendix D to find the critical value at...
*Thursday, March 15, 2012 at 10:48pm by ronald*

**Statistics**

True or False In Regression Analysis if the variance of the error term is constant, we call it the Homoscedasticity property.
*Sunday, December 5, 2010 at 11:25am by Ben*

**Statistics**

To conduct a valid regression analysis, both x and y must be approximately normally distributed. True False
*Monday, November 5, 2012 at 10:10pm by Mike*

**Statistics**

To conduct a valid regression analysis, both x and y must be approximately normally distributed. True False
*Tuesday, November 6, 2012 at 9:56am by Mike*

**Statistics**

Are these questions below true or false? I am stuck. I think 1 is true and 3 is false 1. In Regression Analysis if the variance of the error term is constant, we call it the Homoscedasticity property. 2. In simple linear regression analysis, if the error terms exhibit a ...
*Monday, November 29, 2010 at 3:13pm by Logan*

**statistics**

The ages (in years) of 10 infants and the number of hours each slept in a day Age, x: 0.1, 0.2, 0.4, 0.7, 0.6, 0.9, 0.1, 0.2, 0.4, 0.9 Hours slept, y: 14.9, 14.5, 13.9, 14.1, 13.9, 13.7, 14.3, 13.9, 14.0, 14.1 Find the equation of the regression line. Then use the regression ...
*Wednesday, April 18, 2012 at 7:44pm by Amanda*

**statistics**

The data set healthy breakfast contains the ratings of 77 cereals and the number of grams of sugar contained in each searving. A simple linear regression model considering Sugar as the explanatory variable and Rating as the response variable produced the following regression ...
*Thursday, September 13, 2012 at 1:39am by Gee*

**statistics**

Job Sat. INTR. EXTR. Benefits 5.2 5.5 6.8 1.4 5.1 5.5 5.5 5.4 5.8 5.2 4.6 6.2 5.5 5.3 5.7 2.3 3.2 4.7 5.6 4.5 5.2 5.5 5.5 5.4 5.1 5.2 4.6 6.2 5.8 5.3 5.7 2.3 5.3 4.7 5.6 4.5 5.9 5.4 5.6 5.4 3.7 6.2 5.5 6.2 5.5 5.2 4.6 6.2 5.8 5.3 5.7 2.3 5.3 4.7 5.6 4.5 5.9 5.4 5.6 5.4 3.7 6.2...
*Tuesday, September 21, 2010 at 1:31pm by chris*

**statistics**

An expert witness in a case of alleged racial discrimination in a state university school of nursing introduced a regression of the determinants of Salary of each professor for each year during an 8-year period (n = 423) with the following results, with dependent variable Year...
*Monday, March 19, 2012 at 9:11pm by ronald*

**math**

Use exponential regression to model the price P(t) as a function of time t since 1994. Include a sketch of the points and the regression curve. (Round the coefficients to 3 decimal places.)
*Thursday, October 7, 2010 at 9:41pm by liz*

**Maths **

y= ae^(bt)sin(kt) Use a sine regression to determine k, the period of oscillation of this system. State the regression equation and superimpose its graph on that of the data set. help?
*Sunday, June 5, 2011 at 8:02pm by Georgia*

**statistics**

Develop the estimated regression equation to predict the city score, given the Recession Resistance rating alone
*Monday, April 18, 2011 at 10:07pm by Jennifer*

**Statistics**

The residual sum of the squares is the numerator portion of the formula for the variance of y about the regression line. True False
*Monday, November 5, 2012 at 10:09pm by Mike*

**Statistics**

The residual sum of the squares is the numerator portion of the formula for the variance of y about the regression line. True False
*Tuesday, November 6, 2012 at 9:57am by Mike*

**statistics**

For certain x and y series which are correlated, the two lines of regression are 5x-6y+9=0 , 15x-8y+130=0. The correlation coefficient is :
*Sunday, May 19, 2013 at 4:43am by anand nanda*

**Algebra 2 **

A data set has the following point: (1,8)(2,7)(3,5) The slope of the linear regression line is -1.5 Find the y-intercept of the linear regression.
*Tuesday, May 22, 2012 at 10:20pm by Juan*

**MATH**

A data set has the following points: (0, 2), (4, 1), (6, 0) The slope of the linear regression line is -0.32. Find the y-intercept of the linear regression.
*Thursday, July 11, 2013 at 10:35pm by J*

**math**

can someone please help me fast before midnight. a)I need the correlation between x and y b)slope of linear regression c)y intercept of linear regression for the points (1,8)(2,6)(3,4)(4,2)(5,5)
*Monday, May 5, 2008 at 10:53pm by john*

**business statistics**

When autocorrelation of the residuals is present, what effect can this have on interval estimation and significance tests regarding the regression model involved?
*Monday, August 17, 2009 at 10:32pm by Yadira M*

**statistics**

how do I find s subscript x and s subscript y for b1 = r(Sy/Sx)? Found in linear regression.
*Monday, October 22, 2007 at 8:28pm by Rebecca*

**statistics**

if the equation for the regression line is y1=6x-8,what is the result in a predicted value for y if the value of x =4
*Wednesday, August 18, 2010 at 8:51pm by Anonymous*

**Statistics**

Not a t-Test. Is a Linear Regression to test for a relationship between PC ownership and Computer Anxiety
*Sunday, June 24, 2012 at 3:16pm by anon*

**statistics**

Pre- study scores versus post- study scores for a class of 120 college freshman english students were considerated. The residual plot for the least squares regression line showed no pattern. The least squares regression line was y^=0.2+0.9x withwith a correlation coefficient r...
*Thursday, September 13, 2012 at 2:20am by Gee*

**statistics**

The data set given below has y^ = 3x - 5 for its regression equation. Find the standard error of estimate. x 3 2 5 8 y 4 1 10 19 A) 1.29 B) 0 C) 2.06 D) 0.17
*Friday, March 23, 2012 at 6:17pm by ericka *

**statistics**

The following linear equation ,y= b0 = b1x, is a regression line with y-intercept b0 and slope b1.
*Thursday, May 19, 2011 at 11:25am by jessica*

**Math**

A perfect positive or negative correlation means that A) the explanatory causes the y-variable. B) 100% of the variation is explained. C) we get the same regression equation if we switch the x and y variables. D) the slope of the regression equation is 1.0 I chose B
*Wednesday, September 18, 2013 at 4:05pm by Robby*

**Statistics !**

Hi I have calculated some statistics using a spreadsheet program and I have to compare three slopes of regression and their significance level in an energy species hypothesis.. -2.11 level of significance is 5% -4.73 level of significance is 1% -4.13 level of significance is 1...
*Thursday, June 4, 2009 at 6:25pm by Gary*

**statistics**

The following data on the number of iron workers in the United States for the years 1978 through 2008 are provided by the U.S. Bureau of Labor Statistics. Using regression techniques discussed in this section, analyze the data for trend. Develop a scatter plot of the data and ...
*Sunday, October 2, 2011 at 8:58pm by Anonymous*

**Statistics**

Suppose a data set has a linear regression line of y = 6 -0.8x. If the mean of the x's is 5, what is the mean of the y's? 2 5 10 6 None of the above
*Monday, February 18, 2013 at 5:04pm by Lindsey*

**statistics**

A multiple regression model has the form: As x2 increases by 1 unit, holding constant x1, then the value of ywill increase by: ŷ=5.25 +2.5x©û+4x ©ü?
*Tuesday, August 25, 2009 at 10:07am by Danny*

**Math :)**

first, check the differences: 8.6 2.0 1.6 2.8 1.3 Doesn't look good, since there's no obvious slope. Is this a class in statistics, where you cover linear regression? The 62.5 looks like an outlier.
*Tuesday, December 10, 2013 at 12:08pm by Steve*

**Statistics**

a procedure in REGRESSION NALYSIS WHERE PREDICTOR OR INDEPENDENT VARIABLES ARE CODED AS 1 OR 0 (REPRESENTING CATEGORIES) AND CAN BE USED TO PRODUCE ANOVA TABLES UNDER THE GENERAL LINEAR MODEL IS KNOWN AS?
*Saturday, April 5, 2014 at 8:58am by Jo*

**Statistics**

A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or 0 (representing categories) and can be used to produce ANOVA Tables under the General Linear Model is known as…?
*Sunday, April 6, 2014 at 12:42pm by C*

**Statistics**

In reagards to correlation and regression how can that be applied to accounting. I am trying to find some websites where i could apply one of the above to accounting.
*Wednesday, April 30, 2008 at 8:40pm by Caryn*

**Statistics**

True or false? The following linear equation, y = b0 + b1x, is a regression line with y-intercept b0 and slope b1.
*Thursday, May 19, 2011 at 4:55pm by Bill*

**Stats**

x y 1 -10.0 2 -20.0 3 -30.0 4 -40.0 5 -50.0 - What would be the slope of this regression line? - Would the correlation between x and y be positive or negative? - How would you interpret these data in terms of linear regression?
*Tuesday, October 25, 2011 at 8:35pm by Jen*

**Statistics**

True or False, In simple linear regression analysis, if the error terms exhibit a positive or negative autocorrelation over time, then the assumption of constant variance is violated.
*Sunday, December 5, 2010 at 7:41pm by Zack*

**please help - maths**

Data are collected on the average second-hand price of a particular model of car, from back copies of car trading magazines. The model of car was manufactured in 2000. Year 2001 2002 2003 2004 2005 Average price (£) 11015 5920 4123 3171 2587 Taking 2001 as year 1, 2002 as year...
*Friday, May 18, 2007 at 8:54am by carrie*

**statistics**

Which of the following is not a consideration in determining the goodness of fit of a model? a. the value of r^2 b. the slope of its residual plot c. the existence of influential points d. the existence of pattern in the residual points e. all of these are considerations I ...
*Tuesday, December 25, 2007 at 7:09pm by Anonymous*

**Statistics**

Determine if a linear relationship exists between unemployment rates and cost of living indexes by constructing a scatter chart and adding a trend line. What is the regression model and R2?
*Friday, April 20, 2012 at 4:29pm by Tiffany*

**statistics**

12) The regression equation Credits = 15.4 - .07 Work was fitted from a sample of 21 statistics students. Credits is the number of college credits taken and Work is the number of hours worked per week at an outside job. A) Interpret the slope. B) Is the intercept meaningful? ...
*Monday, September 27, 2010 at 1:06pm by kim*

**Math**

Regression curve is a study taught in advanced statistic courses. The simplest form of regression is fitting a line to data. Suppose I want to predict a tiger's height from its age. I can find the equation of the "best" line that relates height to age, and I can then use that ...
*Saturday, February 23, 2008 at 3:26pm by blueridge*

**Statistics: IQ Score (X) and Exam Score (Y)**

Substitute each score for X in the regression equation and solve for predicted y (Y').
*Tuesday, October 18, 2011 at 3:30pm by MathGuru*

**statistics**

between z=1.45 and z=2.12 greater than z =1.75 or less than z= -0.90 exactly equal to z= 1.50 if the equation resulted from regression analysis involving a set of ten (x,y) data point. what is the value of y when x = 3
*Wednesday, March 7, 2012 at 6:45am by Tonya*

**STATISTICS**

If I've interpreted this statement correctly, I would say "true" because there may be less confidence in the predictive value of the regression line. This might also have adverse implications in real world applications.
*Friday, September 13, 2013 at 2:22pm by MathGuru*

**statistics**

Substitute the values from C) into the equation and solve for each one to determine Credits. Regression equation is predicted y = a + bx ...where a represents the y-intercept and b the slope. I hope this will help get you started.
*Monday, September 27, 2010 at 1:06pm by MathGuru*

**MATHS STATISTICS**

sales manager was interested in determining if there is a relationship between college GPA and sales performance among salespeople hired within the last year. A sample of recently hired salespeople was selected and the number of units each sold last month recorded. The data, ...
*Monday, May 13, 2013 at 11:14pm by Anonymous*

**MATHS STATISTICS**

sales manager was interested in determining if there is a relationship between college GPA and sales performance among salespeople hired within the last year. A sample of recently hired salespeople was selected and the number of units each sold last month recorded. The data, ...
*Monday, May 13, 2013 at 11:14pm by Anonymous*

**Regression Analysis**

1)Quantity of Beef 2)Price of Beef 3)Price of Pizza 4)Price of Coke 5)Income 1- list and explain each of the components of your regression model, both the dependent variable and the independent variables 2-list each of the independent variables, hypothesize the sign of the ...
*Wednesday, September 30, 2009 at 11:38am by Peter*

**statistics**

The scatter diagram of midterm scores and final scores in a large class is football shaped. For about 80% of the students, the regression estimate of final score based on midterm score is correct to within 15 points. For about 95% of the students, the regression estimate of ...
*Wednesday, March 27, 2013 at 9:40am by Anonymous*

**Statistics - Correlation Coefficient/Regression**

I used an online calculator and came up with this: y = a + bx where: a= -15.4 b= 14.4 r = 0.978 Your formula looks correct. It's easy to make errors with the calculations when doing these kinds of problems.
*Saturday, June 21, 2008 at 8:35pm by MathGuru*

**Statistics**

There are different ways to find the regression line. Do you know which one you are supposed to use? It should be around y=-0.6x+310. Try to calculate the coefficients and we can check you answer. Do specify the method, and work details if you can.
*Friday, May 24, 2013 at 6:58pm by MathMate*

**Statistics**

12.22 A regression was performed using data on 16 randomly selected charities in 2003. The variables were Y = expenses (millions of dollars) and X = revenue (millions of dollars). (a)Write the fitted regression equation. (b)Construct a 95 percent confidence interval for the ...
*Sunday, September 26, 2010 at 11:43pm by Kim*

Pages: **1** | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Next>>