Unit 5 Scatter Plots & Data Analysis Lesson 5 Correlation
anybody did this?
I did the pratice nd quick check but need help with the last one..
Check all of the statements that are true. (9 points) Responses
The line of best fit would have a positive slope representing as income goes up, happiness goes up.
The line of best fit would have a positive slope representing as income goes up, happiness goes up.
The line of best fit should include the lowest and highest scores.
The line of best fit must show the middle score of the data as being on the line.
The slope of the line of best fit could be around m = -1/2000.
The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
There is no correlation between happiness and income.
This is a moderate positive correlation.
As a person's income goes up, their happiness trends down.
Question 2
Which choices BEST describes the relationship between the variables shown in the graph? (1 point) Responses
People who made more money generally completed more years of college than those who made less money.
There is a very weak, positive correlation between years of college and income.
There is no relationship between college completion and income.
Going to college CAUSES a person to earn more income.
People who completed more years of college generally made less money than those who completed fewer years of college.
Question 5
What should be true about the line of best fit for any scatter plot? Check all that apply. (2 points) Responses
The line of best fit MUST cross through at least 2 points in the scatter plot.
The line of best fit must have an equal number of points above and below the line.
The line of best fit should be an exact representation of the data points.
The line must represent the general relationship between the two variables.
The line of best fit can, some times, be used as a prediction tool; showing a trend in the data.
im almost done wit numba 3 nd im 90% sure 2 is There is a very weak, positive correlation between years of college and income.
I took it for the quick check its
1 - The graph shows a positive linear association.
2 - The graph shows a negative association.
3 - time spent studying for an exam and the grade on the exam
4 - x 5,8,2,4,6,12,10,1,3,7 y 550,800,350,450,700,1000,900,250,400,750
5 - x 50,46,98,59,78,64,68,53,70,72 y 75,71,90,55,70,100,90,25,40,76
this is the portfolio Item
1 - The line of best fit would have a positive slope representing as income goes up, happiness goes up.
The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
This is a moderate positive correlation.
2 - People who made more money generally completed more years of college than those who made less money.
3 - The one that has a dot at (35,20) (25,30) (45,30) (50,30) (60,45) (55,50) (50,60) (75,60) (80,60) and look like a sideways W.
4 - Positive, Weak Correlation
5 - The line must represent the general relationship between the two variables. and The line of best fit can, some times, be used as a prediction tool; showing a trend in the data.
@2trimmm_markel what did u get for number 3?
Nevermind can u check you answer for number 2?
hold up
ai su
BOT NB TALKIN TA U
its C the one that looks like a sideways W but there 2 like that its the one that has
a dot at 35,20 25,30 45,30 50,30 60,45 55,50 50,60 75,60 80,60
For Question 1, the correct statements are:
- The line of best fit would have a positive slope representing as income goes up, happiness goes up.
- The line of best fit should include the lowest and highest scores.
- The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
- This is a moderate positive correlation.
For Question 2, the correct choice is:
- There is a very weak, positive correlation between years of college and income.
For Question 5, the correct statements are:
- The line of best fit MUST cross through at least 2 points in the scatter plot.
- The line must represent the general relationship between the two variables.