a sample of 25 families was taken for a study. the objective of the study was to estimate the factors that determine the monthly expenditure (in dollars) on food for families. the independent variables included in the analysis were the number of members in the family (x1), the number of meals eaten outside (x2), and a dummy variable (x3) that equals 1 if a family member is on a diet and equals 0 if there is no family member on a diet. the following regression results were obtained. coefficients standard error intercept 450.08 53.6 x1 49.92 9.6 x2 10.12 2.2 x3 -.60 12.0 ANOVA df SS MS regression 3078.39 1026.13 residual (error) 2013.90 95.90 total (a) write out the estimated regression equation. (b) interpret all coefficients (c) test for the significance of b1, b2, and b3 at the 1% level of significane. (d) what are the degrees of freedom for the sum of squares explained by the regression (SSR) and the sum of squares due to error (SSE)? (e) test whether or not there is a significant relationship between the monthly expenditure on food and the independent variables. Use a .01 level of significance. be sure to state the null and alternative hypotheses. (f) compute the multiple coefficient of determination and explain its meaning. (g) estimate the monthly expenditure on food for a family that has 4 members, eats out 3 times, and does not have any member of hte family on a diet.
Statistics question:
a sample of 25 families was taken for a study. the objective of the study was to estimate the factors that determine the monthly expenditure (in dollars) on food for families. the independent variables included in the analysis were the number of members in the family (x1), the number of meals eaten outside (x2), and a dummy variable (x3) that equals 1 if a family member is on a diet and equals 0 if there is no family member on a diet. the following regression results were obtained.
coefficients standard error
intercept 450.08 53.6
x1 49.92 9.6
x2 10.12 2.2
x3 -.60 12.0
ANOVA
df SS MS
regression 3078.39 1026.13
residual (error) 2013.90 95.90
total
(a) write out the estimated regression equation.
(b) interpret all coefficients
(c) test for the significance of b1, b2, and b3 at the 1% level of significane.
(d) what are the degrees of freedom for the sum of squares explained by the regression (SSR) and the sum of squares due to error (SSE)?
(e) test whether or not there is a significant relationship between the monthly expenditure on food and the independent variables. Use a .01 level of significance. be sure to state the null and alternative hypotheses.
(f) compute the multiple coefficient of determination and explain its meaning.
(g) estimate the monthly expenditure on food for a family that has 4 members, eats out 3 times, and does not have any member of hte family on a diet.
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