iPad 7:00 PM 63%-, drive.google.com X-batting ave Y home runs 390 25 290 2502002
ID: 3361389 • Letter: I
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iPad 7:00 PM 63%-, drive.google.com X-batting ave Y home runs 390 25 290 250200230 18 20 18 6. What is the beta coefficient (slope)? A. 0.03 B. 23.53 C. 3.67 D. 15.11 7. According to the data in the preceding table, batting average impacts home runs Adding hours of practice per day as a second independent variable (another x) would change the beta coefficient for X1 (batting average). A. Yes, unless correlation between XI and X2 is -1 B. Yes, unless correlation between X1 and X2 is 0. C. No 8. In the least-squares line y-22 +2x, what is the intercept? A. 22 B. 2 C. 24 D. 13 9. The standard error of the X coefficient and the standard error of the estimate are the same thing. A. True B. False 10, For the following data pair, the error term is (x, y) based on model: (5,9) (x, y) actual data: (4, 9). B. 1 C. 0 D. Not calculable 1. Graphis the most volatile. A. (a) B. (b) C. (c) Page 2 5Explanation / Answer
6)
Regression Equation
Y-home runs = 9.96 + 0.03690 X-batting average
The beta coefficient (slope) is -> A. 0.03
7) B. Yes, unless correlation between X1 and X2 is 0
8) The intercept = A. 22
9. B.False
10. D. Not calculable
Since for a fixed x, error = Observed y - Predicted y, but according to the question x is not fixed,observed x =4, Predicted x = 5
11. Ans -> C. (c)
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