Question 1

In order to estimate performance of a stock index (e.g., the Dow), you generate a regression equation based on interest rate and unemployment rate. The result is the equation: index = 1798.4 + 345.5*interest - 250.1*unemployment. "Index" is the stock index price in $, "interest" is the interest rate in %, and "unemployment" is the unemployment rate in %. Assuming all else is equal, what will be the expected change in the stock index price if the unemployment rate decreases by 2%?

Group of answer choices

$500 decrease

$500 increase

$250 decrease

$250 increase

Question 2

A Pearson correlation between IQ and SAT scores gives the following results: R = 0.65, p

Group of answer choices

reject; an association

reject; no association

fail to reject; an association

fail to reject; no association

Question 3

Would you like 5 free points?

Group of answer choices

Yes

No

Question 4

In order to estimate a weight lifter's performance on the clean and jerk, you generate a regression equation from lifting data, clean = 32.9 + 1.03*age + 0.106*weight + 0.828*snatch. "Clean" is the clean and jerk weight lifted in kg, "age" is the age in years, "weight" is the body weight in kg, and "snatch" is the snatch weight lifted in kg. You get the following results: Predictor Coef SE T P Constant 32 . 88 28.33 1. 16 0 . 273 Age 1 . 0257 0 . 4809 2. 13 0. 059 Body 0 . 1057 0. 1624 0. 65 0.530 Snatch 0. 8279 0. 1371 6. 04 0.000 Which independent variables are significant predictors of performance on the clean and jerk? snatch O age O age and body Onone are significant predictors