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Regression Quiz 1 (25 MCQs)

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1. What type of correlation describes the following sentence:The temperature outside and the number of hot chocolate sold at a football game.

2. Base your answer to the following question on the least square regression line:y = 3.12-0.79 * x The mean of the y-variable is 2.12. What is the mean of the x-variable?

3. The regression formula of $ Y\ =3-0.6X$ indicates that

4. In a regression line of Yon X the variable Xis known as

5. Rich is a member of a gym. He pays a monthly fee plus a per-visit fee. The equation below represents the monthly amount Rich pays for his membership to the gym per month for x visits.y= 10 + 3xWhat does the y-intercept of the graph of this equation represent?

6. What is a best-fit line used for?

7. Suppose a straight line is fit to data having response variable y and explanatory variable x. Predicting values of y for values of x outside the range of the observed data is called _____

8. The method of least square regression is used to _____ the residuals.

9. "Least-squares" in the term "least-squares regression line" refers to _____

10. A process by which we estimate the value of dependent variable on the basis of an independent variable is called

11. What are residuals?

12. Number of years of education and job salary

13. Linear regression is a statistical regression method which is used for

14. The standard deviation is to the mean as the _____ is to the regression line.

15. It is the technique used to develop the equation for a straight line and make these predictions

16. Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is y= 40x+100, where x is number of weeks and y is weight in grams. What does the y-intercept mean in context of the problem?

17. What is the y-intercept in the following equation? $ y=3+5x$

18. Regressionanalysis is the measure of _____ relationship between variables

19. What letter do we use to represent correlation coefficient?

20. A linear regression (LR) analysis produces the equation Y = 3 + 0.4X. This indicates that:

21. Which of the following statistics show how much variance there is between y-values and x-values?

22. Which is TRUE?I. Random scatter in the residuals indicates a linear model.II. If two variables are very strongly associated, then the correlation between them will be near 1 or-1.III. Changing the units of measurement for x or y changes the correlation coefficient.

23. Victoria found the least squares regression line for a set of data and then graphed a residual plot. She found that all the residuals were above 0. Which of the following is true?

24. In the regression equation y = bo+ b1x, bo is the;

25. Correlation coefficientcis equal to _____ of regression coefficients.

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Regression Quiz 1 (25 MCQs)

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