evaluate the above regression results in terms of the signs of the coefficients,
ID: 1177149 • Letter: E
Question
evaluate the above regression results in terms of the signs of the coefficients, the statistical significance of the coefficients, and the explanatory power of the regression (R2). The number in parentheses below the estimated slope coefficients refer to the estimated t values. The rule of thumb for testing the significance of the coefficients is if the absolute t value is greater than 2, the coefficient is significant, which means the coefficient is significantly different from 0. For example, the absolute t value for Px is 5.12, which is greater than 2; therefore, the coefficient of Px, (-9.50) is significant. In order words, Px does affect Qx. If the price of the commodity X increases by $1, the quantity demanded (Qx) will decrease by 9.50 units.
Year Y X1 X2 PZ 1986 72 $10 $2000 14 1987 81 9 2100 15 1988 90 10 2210 15 1989 99 9 2305 16 1990 108 8 2407 17 1991 126 7 2500 18 1992 117 7 2610 17 1993 117 9 2698 18 1994 135 6 2801 19 1995 135 6 2921 20 1996 144 6 3000 20 1997 180 4 3099 19 1998 162 5 3201 21 1999 171 4 3308 21 2000 153 5 3397 22 2001 180 4 3501 23 2002 171 5 3689 23 2003 180 4 3800 24 2004 198 4 3896 25 2005 189 4 3989 26Explanation / Answer
I have done the regression in an excel sheet which i'm unable to post here... If you can give me your email ID i'll send it to you.. Thank you.
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