Question

alet or a used-car dealership is very interested in the resale price of used cars. The manager feels that the age of car (in thousands of dollars) as the dependent variable and the age of the car (in ) None of these answers THE NEXT The manager of a used-car the car is important in regression years) as the independent determining the resale value. He collects data on the age and resale value of 15 cars and runs a variable. Unfortunately, he spilled his coffee on the printout and lost some of the results analysis with the value of the identified by A through "F. The partial results left are displayed SUMMARY OUTPUT R Square Adjusted R Square Standard Error 0.442 0.133 15.000 ANOVA MS-一下一一Significance 44.397 3.154 14.076 4.397 13 14 Total 227.389 Coefficients Standard Error Stat P-value 5.9880.000 0.640 12) What is the value of "D? A) 172.25 B) 140.03 C) 162.42 12) D) 182.99 13) What is the approximate value of "G A) 0.05 B) 0.01 C) 0.025 13) D) 0.10

Answer 1

Solution(12)

Sum of square = square mean * Df = 14.076*13 = 182.99

So its answer is D. I.e. 182.99

Solution(13)

P-value can be find from t table

As Df =14

Tstat = -1.776 and this is two tailed

So p-value = 0.10

So it's answer is D. I.e. 0.10