In: Statistics and Probability
1. A model regressing consumption (C) on income (I) and wealth (W) yielded the following results. All variables are measured in thousands of dollars.
R2 = 0.86 R2 = 0.79 calc F = 17.42 n = 25
C = 402 + 0.83 I + 0.71 W
(0.71) (6.21) (5.47)
where the t-values are shown in parentheses.
a. What is the meaning of the intercept term?
b. Are the coefficients significant at the 5 percent level?
c. Is the overall model significant at the 10 percent level?
d. Construct a 99% confidence interval for the population regression coefficient linking wealth and consumption.
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Answer:
a)
The meaning of the intercept is that the fixed compensation is 402 thousand dollars even when the income and wealth are zero
b)
c)
d)