Question

Figure 2 shows Excel output estimating the following model: NumBikeThefts-β0+81 Income + β2Unem + β3Pupil/Tea + β4Divorce + ε12. Which coefficient(s) is (are) significant at the .05 level?

Select one:

a. Income, Unemployment and Pupil/Tea

b. Divorce

c. Income and Pupil/Tea

d. Income

PART B-- Refer to Figure 2

Is the regression equation significant at the .05 level?

Select one:

a. YES

b. NO

c. Need more information to answer this question

PART C-- Refer to Figure 2

Which of the following is a correct interpretation for the variable Unem?

Select one:

a. Unemployed people steal 40.63 more bikes relative to employed people.

b. A 1% increase in the unemployment rate results in about 41 more bike thefts.

c. A 1 dollar increase in unemployment results in the predicted number of bike thefts to increase by 0.02.

d. For every additional 41 bike thefts, there is a 1% increase in unemployment.

PART D--   Refer to Figure 2

What is the predicted number of bike thefts in a state with a per capita income of $25,000, an unemployment rate of 8% (enter in “8”), a pupil teacher ratio of 20 and a divorce rate of 10% (enter in “10”)? Round to 4 decimal places when making the calculations.

Select one:

a. 267

b. 321

c. 582

d. 818

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Answer #1

12)

a. Income, Unemployment and Pupil/Tea (As there p values are less than 0.05)

13)

Is the regression equation significant at the .05 level? :Yes

14) b. A 1% increase in the unemployment rate results in about 41 more bike thefts.

15)

predicted number of bike thefts = -1097.53+0.023*25000+40.628*8+37.64*20+26.31*10=818

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