Complete the missing information for this regression model. Note: N = 24. (Except for P-values, report all values accurate to 3 decimal places. For P-values, report accurate to 4 decimal places.) = 22.084 + 0.448X1 0.37X2 + X3 1.863 0.315 0.232 1.127 Standard Errors 11.854 1.422 t-ratios 0.1671 P-values

The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30?     97     100     10     none of the above

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value?   Chirps in 1 min 784 838 822 949 1188 813   Temperature ​(°​F) 65.7 67.8 66.2 79.9 92.3 73.5   What is the regression​ equation?   What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per​ minute?   The best predicted temperature when a bug is chirping at 3000chirps per minute are?   What is wrong with this predicted​ value? Choose the correct answer below.     A. It is unrealistically high. The value 3000 is far outside of the range of observed values.   B. The first variable should have been the dependent variable.   C. It is only an…

Complete the missing information for this regression model. Note: N = 23. (Except for P-values, report all values accurate to 3 decimal places. For P-values, report accurate to 4 decimal places.) = 33.175 + 2.523X1 3.346X2 + X3 - 2.204 1.874 1.396 0.175 Standard Errors 15.052 1.346 t-ratios 0.078 P-values 00