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Regression Quiz 3 (23 MCQs)

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1. Simple linear regression requires that the scales of measurement be expressed in either
2. Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean?
3. The amount of time a runner spends training and their time in the mile.
4. Linear regression analysis produces an equation of Y = 7-3.2X. This indicates that:
5. The purpose of regression analysis is to
6. What type of correlation describes the following sentence:The number of people that go the pool and the temperature outside.
7. The equation of a least squares regression line is given by = 1.6 + 9.4x. Find the residual of the point (4, 4).
8. A regression model in which more than one independent variable is used to predict the dependent variable is called as _____
9. If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34$^ \circ$ day.y =-60x+6443
10. The correlation coefficient measures _____
11. In the equation of a straight line, Y = bX + a the term, b is the
12. What type of correlation (association)?The outside temperature and the amount of layers you wear.
13. You are analyzing a scatter plot that has a negative correlation. What is true of the of the x and y values?
14. A residual is defined as
15. The equation y =-2x + 7 models the amount of gas remaining in a lawnmower after x hours of use since it was filled. What is the meaning of the slope?
16. Which of the following can affect the value of the correlation r? I. A change in measurement units II. Adding a constant to all values of the y-variable III. Interchanging x and y IV. Adding another data point
17. Which one of the following is the most appropriate definition of a 99% confidence interval?
18. The term regression was introduced by _____
19. What should a residual plot look like?
20. What is the regression equation used for?
21. Simple linear regression is
22. If there is NO correlation between 2 variables, the correlation coefficient is _____
23. If a regression coefficient is less than 1 then the other should be?
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