The correlation coefficient

QUESTION 1

1.B According to the correlation coefficient, as feeling thermometer scores for the policy increase, feeling thermometer scores for Republicans (Choose one):

increase.

decrease.

1 points

QUESTION 2

1.C According to the correlation coefficient matrix, which of the following variables has the strongest correlation (either negatively or positively) with feeling thermometer scores for Donald Trump? (choose one)

Police

Republicans

Obama

H. Clinton

1 points

QUESTION 3

1.D According to the correlation coefficient matrix, the following two feeling thermometer scores have the strongest correlation (either negatively or positively):

Obama and Republicans

Obama and Clinton

Police and Republicans

Trump and Republicans

Clinton and Trump

1 points

QUESTION 4

2.B Based on your results, the regression equation for estimating the percentage voting for Hillary Clinton is (fill in the blanks, put the constant, _cons, in the last blank). Please also use the three full digits after the decimal point as well (essentially copy the output, do not round).Clinton Voter Percentage =

x Percentage Turnout +

2 points

QUESTION 5

2.C Consider your findings in parts A and B. One may conclude that EITHER the conventional wisdom is correct or it is incorrect. In a short answer, please indicate whether the conventional wisdom is correct or incorrect, and explain your reasoning.

Path: pWords:0

3 points

QUESTION 6

3.A If you were to use regression analysis to test the idea that public opinion on abortion affects state abortion policy, you would expect to find (choose one):

a negative sign on prochoice_percent's regression coefficient.

a positive sign on prochoice_percent's regression coefficient.

1 points

QUESTION 7

3.C According to the results, the regression equation for estimating the number of abortion restrictions is: (Please fill in the blanks and add your answer to the "short answer" section. You can use the following format, and put the constant, cons, in the last blank).Number of Restrictions = _ x Percentage Pro-choice + ________

Path: pWords:0

2 points

QUESTION 8

3.D According to the data, 70 percent of Virginia residents are pro-choice. In Tennessee, by contrast, only 40 percent of the public holds this view. Based on the regression equation, which of the following answers are correct. (Choose two)

Tennessee would be estimated to have about -6 abortion restrictions.

Virginia would be estimated to have about 4.5 abortion restrictions

Tennessee would be estimated to have about 3 abortion restrictions.

Virginia would be estimated to have about -9.5 abortion restrictions.

Tennessee would be estimated to have about 9 abortion restrictions.

2 points

QUESTION 9

3.E The adjusted R-squared is equal to .182. This means that (provide a short answer explaining the meaning of the R-squared):

Path: pWords:0

2 points

QUESTION 10

4.B Consider the skeptical critic's first claim regarding the relationship between womleg_2017 and abortlaw2017. According to the correlation coefficient, this claim is (explain whether the claim is correct or incorrect, use the statistics from the output).

Path: pWords:0

2 points

QUESTION 11

4.C Consider the skeptical critic's second claim regarding the relationship between womleg_2017 and prochoice_percent. According the correlation coefficient, is this claim correct or incorrect (explain in the short answer section)?

Path: pWords:0

2 points

QUESTION 12

3.F Based on the evidence in part D, is the critic's third claim regarding the multiple regression analysis correct? (Provide a short explanation).

Path: pWords:0

3 points

QUESTION 13

5.B Based on the evidence in part A, does it appear that Hypothesis 1 has merit? In a short answer response, state "yes" or "no" and then explain your reasoning.

Path: pWords:0

3 points

QUESTION 14

5.C Based on the evidence in part A, does it appear that Hypothesis 2 has merit? In a short answer response, state "yes" or "no" and then explain your reasoning.

Path: pWords:0

3 points

QUESTION 15

5.D Based on the evidence in part A, does it appear that Hypothesis 3 has merit? In a short answer response, state "yes" or "no" and then explain your reasoning.

Path: pWords:0

3 points

QUESTION 16

5.E The adjusted R-squared statistic for the multiple regression model you estimated in part A equals?

.319

-.121

.169

.100

1 points

QUESTION 17

6.C (We've skipped 6A and 6B, which is okay). According to the regression equation, a 1-percentage point increase in conservatives i the mass public is associated with (choose one):

about a 27-point decrease in House conservatism scores.

about a 2-point increase in the House conservatism score.

about an 8-point increase in House conservatism scores.

1 points

QUESTION 18

6.D If you were to use this regression to estimate the mean House conservatism score for states having 30 percent conservatives, your estimate would be (Choose one):

30

35

40

45

50

1 points

QUESTION 19

6.E The adjusted R-squared for this relationship is .582. This tells you that about _ percent of the variation in HR_conserv11 is explained by Conserv_pubic? (Choose correct answer to fill in the blank).

.58 Percent

5.8 Percent

Trick question. R-squared has nothing to do with understanding variation explained.

58 Percent

1 points

QUESTION 20

6.G Based on your inspection of the regression results (you do not need to use the graph for this answer), and the adjusted R-squared, which congressional scholar is more correct? (Scholar 1 or Scholar 2). Provide an explanation of our answer as well.