Test for the significance of ß, at the 1% level of significance. State the null and alternative hypotheses. (Enter != for as needed.) B3=0 B3!=0 Ho H₂: Find the value of the test statistic. -0.7 x Find the p-value. (Round your answer to four decimal places.) p-value= State your conclusion. O Reject Ho. There is insufficient evidence to conclude that ß, is significant. O Do not reject Ho. There is sufficient evidence to conclude that , is significant. O Reject Ho- There is sufficient evidence to conclude that , is significant. Do not reject Ho. There is insufficient evidence to conclude that B, is significant. (d) What are the degrees of freedom for the sum of squares explained by the regression (SSR)? What are the degrees of freedom for 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 0.01 level of significance. State the null and alternative hypotheses. O Ho: Bo O H₂: Po=0

Elementary Geometry For College Students, 7e
7th Edition
ISBN:9781337614085
Author:Alexander, Daniel C.; Koeberlein, Geralyn M.
Publisher:Alexander, Daniel C.; Koeberlein, Geralyn M.
Chapter8: Areas Of Polygons And Circles
Section8.4: Cicumference And Area Of A Cicle
Problem 46E: A tabletop is semicircular when its three congruent drop-leaves are used. By how much has the tables...
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A sample of 23 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.
ŷ =
Intercept
?
X1
X2
ANOVA
Ho:
X3
Coefficients
Regression
Residual (Error)
f2
474.31
51.94
13.72
-1.12
df
(a) Write out the estimated regression equation.
Standard Error
SS
1,852.50
56.6
3,188.25 1,062.75
圓
*****
9.8
2.8
16.0
474.31 +51.94x₁ + 13.72x2-1.12x3
(b) Interpret all coefficients.
An additional member in the family increases the monthly expenditure in dollars on average by $51.94
monthly expenditure on food in dollars on average by $ 13.72
family member is on a diet.
f5
MS
(c) Test for the significance of B₁ at the 1% level of significance.
State the null and alternative hypotheses. (Enter != for = as needed.)
B₁=0
97.50
J
f6
4-
f7
♫+
holding all other variables constant. An additional meal eaten outside increases the
✓, holding all other variables constant. The monthly food expenditures in dollars decrease on average by $ 1.12
✔ if a
f8
KAA
fg
6
DII
f10
DDI
f11
f12
insert
prt sc
delete
home
end
1:56 PM
12/3/2022
pg up
5
+
pg dn
Transcribed Image Text:esc You may need to use the appropriate technology to answer this question. A sample of 23 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. ŷ = Intercept ? X1 X2 ANOVA Ho: X3 Coefficients Regression Residual (Error) f2 474.31 51.94 13.72 -1.12 df (a) Write out the estimated regression equation. Standard Error SS 1,852.50 56.6 3,188.25 1,062.75 圓 ***** 9.8 2.8 16.0 474.31 +51.94x₁ + 13.72x2-1.12x3 (b) Interpret all coefficients. An additional member in the family increases the monthly expenditure in dollars on average by $51.94 monthly expenditure on food in dollars on average by $ 13.72 family member is on a diet. f5 MS (c) Test for the significance of B₁ at the 1% level of significance. State the null and alternative hypotheses. (Enter != for = as needed.) B₁=0 97.50 J f6 4- f7 ♫+ holding all other variables constant. An additional meal eaten outside increases the ✓, holding all other variables constant. The monthly food expenditures in dollars decrease on average by $ 1.12 ✔ if a f8 KAA fg 6 DII f10 DDI f11 f12 insert prt sc delete home end 1:56 PM 12/3/2022 pg up 5 + pg dn
esc
You may need to use the appropriate technology to answer this question.
A sample of 23 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.
ŷ =
Intercept
?
X1
X2
ANOVA
Ho:
X3
Coefficients
Regression
Residual (Error)
f2
474.31
51.94
13.72
-1.12
df
(a) Write out the estimated regression equation.
Standard Error
SS
1,852.50
56.6
3,188.25 1,062.75
圓
*****
9.8
2.8
16.0
474.31 +51.94x₁ + 13.72x2-1.12x3
(b) Interpret all coefficients.
An additional member in the family increases the monthly expenditure in dollars on average by $51.94
monthly expenditure on food in dollars on average by $ 13.72
family member is on a diet.
f5
MS
(c) Test for the significance of B₁ at the 1% level of significance.
State the null and alternative hypotheses. (Enter != for = as needed.)
B₁=0
97.50
J
f6
4-
f7
♫+
holding all other variables constant. An additional meal eaten outside increases the
✓, holding all other variables constant. The monthly food expenditures in dollars decrease on average by $ 1.12
✔ if a
f8
KAA
fg
6
DII
f10
DDI
f11
f12
insert
prt sc
delete
home
end
1:56 PM
12/3/2022
pg up
5
+
pg dn
Transcribed Image Text:esc You may need to use the appropriate technology to answer this question. A sample of 23 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. ŷ = Intercept ? X1 X2 ANOVA Ho: X3 Coefficients Regression Residual (Error) f2 474.31 51.94 13.72 -1.12 df (a) Write out the estimated regression equation. Standard Error SS 1,852.50 56.6 3,188.25 1,062.75 圓 ***** 9.8 2.8 16.0 474.31 +51.94x₁ + 13.72x2-1.12x3 (b) Interpret all coefficients. An additional member in the family increases the monthly expenditure in dollars on average by $51.94 monthly expenditure on food in dollars on average by $ 13.72 family member is on a diet. f5 MS (c) Test for the significance of B₁ at the 1% level of significance. State the null and alternative hypotheses. (Enter != for = as needed.) B₁=0 97.50 J f6 4- f7 ♫+ holding all other variables constant. An additional meal eaten outside increases the ✓, holding all other variables constant. The monthly food expenditures in dollars decrease on average by $ 1.12 ✔ if a f8 KAA fg 6 DII f10 DDI f11 f12 insert prt sc delete home end 1:56 PM 12/3/2022 pg up 5 + pg dn
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