An economic theory is that the money flowing into and out of mutual funds (fund flows) is related to the performance of the stock market (market return). To the right is part of the regression analysis, where the response variable is Fund Flows ($ million) and the explanatory variable is Market Return (%). Complete a and b below. nbsp Dependent variable is: Fund Flows R squaredequals19.2% s equals 11 comma 021 with 154 minus 2 equals 152 degrees of freedom Variable nbsp nbsp Coeff nbsp nbsp SE left parenthesis Coeff right parenthesis nbsp Intercept 9615.60 897.3 Market Return 1157.50 201.68 Mean market returnequals7.9% a) Find the 99% prediction interval for a month that reports a market return of 9%. The 99% prediction interval is ($ nothing million, $ nothing million). (Round to the nearest whole number as needed.) b) Do you think predictions made by this regression will be very accurate? A. Yes, because the intercept is not significantly different than zero. B. Yes, because the slope standard error is small and the value of R squared is large. C. No, because the intercept is not zero. D. No, because the slope standard error is large and the value of R squared is small.
a) 99% prediction interval
y^= 9615 + 1157.50 *x
= 9615 + 1157.50 *9
= 20032.5
df =n-2 = 152
t = =T.INV.2T(0.01,152) = 2.6086
standard error of prediction interval = Se* sqrt(1 + 1/n + (Xbar - Xi)^2 /SSxx)
= 11021 * sqrt(1 + 1/154 + (9 - 7.9)^2/ 2986.182455)
=11021 * 1.003443
= 11058.945303
note SSxx = Se^2/Sb^2 = (11021/201.68)^2 = 2986.182455
hence
( 20032.5 - 2.6086*11058.945303 ,20032.5 + 2.6086*11058.945303)
= ( -8815.8647 , 48880.8647 )
b)
D. No, because the slope standard error is large and the value of R squared is small.
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