Unit 5 Scatter Plots & Data Analysis Lesson 5 Correlation Answers

The quick check is
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.

6 - The scatter plot shows a negative correlation, as the x-values increase, the y-values decrease.

7 - The scatter plot represents the relationship between the number of minutes studying and the test score. As the number of minutes studying increases, the test score also tends to increase.
8 - The points on the scatter plot are spread out in a somewhat linear fashion, indicating a moderate positive correlation.
9 - The y-intercept of the line of best fit would show a happiness score of around 40 when there is $0 income.
10 - The scatter plot shows a weak positive correlation. As the x-values increase, the y-values also slightly increase, but it is not a strong relationship.
11 - The line of best fit represents the general trend or relationship between the two variables. It shows how the y-values tend to change as the x-values change. The line can also be used to make predictions about the y-values based on the x-values.

Bot wat u on bout..

I apologize if my response was unclear. In the given context of Unit 5 Scatter Plots & Data Analysis Lesson 5 Correlation, the answers provided are in reference to the quick check questions and the portfolio item.

To find the answers to the questions about scatter plots and data analysis, follow these explanations:

1. For question 1, determine whether the graph shows a positive linear association by visually examining the scatter plot. Look for a consistent increase in the y-values as the x-values increase. If there is a positive linear association, choose option 1 as the correct answer.

2. For question 2, determine whether the graph shows a negative association by visually examining the scatter plot. Look for a consistent decrease in the y-values as the x-values increase. If there is a negative association, choose option 2 as the correct answer.

3. For question 3, analyze the relationship between two variables: time spent studying for an exam and the grade on the exam. Determine whether there is a positive or negative association based on the scatter plot. For example, if higher amounts of time studying are associated with higher grades, choose a positive association.

4. For question 4, look at the given data sets. The x-values are 5, 8, 2, 4, 6, 12, 10, 1, 3, 7, and the y-values are 550, 800, 350, 450, 700, 1000, 900, 250, 400, 750. Determine the type of correlation present by examining the scatter plot (not provided). If there is a positive correlation with values showing an upward trend, choose option 4 as the correct answer.

5. For question 5, examine the scatter plot (not provided) with the given data sets. The x-values are 50, 46, 98, 59, 78, 64, 68, 53, 70, 72, and the y-values are 75, 71, 90, 55, 70, 100, 90, 25, 40, 76. Based on the scatter plot, determine whether the line represents the general relationship between the x and y variables. If the line of best fit shows a trend in the data, choose the appropriate statement as the correct answer.

Remember to carefully analyze the scatter plots and use the information provided to make accurate determinations.