Phoenix Lumber Company uses the number of construction permits issued to help estimate demand (sales). The firm collected the following data on annual sales and number of construction permits issued in its market area: No. of ConstructionSalesYearPermits Issued (000)(1,000,000) 20036.5010.3020046.2010.1020056.6010.5020067.3010.8020077.8011.2020088.2011.4020098.3011.30 (a)Which variable is the dependent variable and which is the independent variable?(b)Determine the estimated regression line.(c)Calculate the coefficient of determination. Give an economic interpretation to the value obtained.(d)Suppose that 8,000 construction permits are expected to be issued in 2010. What would be the point estimate of Phoenix Lumber Company's sales for 2010? Q 3. (B)Following output for the multiple regression problem shows results as results. SUMMARY OUTPUT Regression Statistics Multiple R0.70955 R Square0.503461 Adjusted R Square0.410359 Standard Error2.130054 Observations20 ANOVA dfSSMSFSignificance F Regression373.6059324.535315.407670.0092117 Residual1672.594074.537129 Total19146.2 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept48.630816.32473847.6889849.2E-0735.22296862.038661Price of Coke-0.30350.1711745-1.773070.09525-0.66637790.0593694Ad Expenditure0.3429370.16558822.0710210.05489-0.00809470.6939678Pepsi Price0.234060.13935041.6796530.11244-0.06134930.5294699 1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R2, and the Correlation Coefficient, R.2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables. The sig. value is your p value. Using p-value decide you should Reject or Accept claim.3. Write the Fitted Regression line from the results?4. Decide about significance using the p-value. Business Economics...о3. (A)Phoenix Lumber Company uses the number of constructionpermits issued to help estimate demand (sales). The firmcollected the following data on annual sales and number ofconstruction permits issued in its market area:No. of Construction SalesYear Permits Issued (000)(1,000,000)20032004200520066.50|10.306.2010.106.6010.507.3010.802007200820097.8011.208.2011.408.3011.30(a) Which variable is the dependent variable and which is the independent variable?(b)Determine the estimated regression line.(c) Calculate the coefficient of determination. Give an economic interpretation to thevalue obtained.(d) Suppose that 8,000 construction permits are expected to be issued in 2010. Whatwould be the point estimate of Phoenix Lumber Company's sales for 2010?Q 3.Following output for the multiple regression problem shows(B)results as results.SUMMARY OUTPUTRegression Statistics0.709550.503461Multiple RR SquareAdjusted R Square 0.410359Standard ErrorObservations2.13005420ANOVAdfMSFSignificance FRegressionResidualTotal73.60593 24.535315.4076772.594074.53712930.00921171619146.2Coefficients Standard Error t Stat P-value Lower 95% Upper 95 %6.3247384 7.688984 9.2E-070.1711745 -1.77307 0.095250.1655882 2.071021 0.054890.1393504 1.679653 0.1124448.63081InterceptPrice of CokeAd ExpenditurePepsi Price-0.30350.3429370.2340635.222968 62.038661-0.6663779 0.0593694-0.0080947 0.6939678-0.0613493 0.52946991. Find and Interpret Adjusted Coefficient of Determination,Adjusted R?, and the Correlation Coefficient, R.2. The ANOVA table gives the F statistic for testing the claimthat there is no significant relationship between your all ofyour independent and dependent variables. The sig. valueis your p value. Using p-value decide you should Reject orAccept claim.3. Write the Fitted Regression line from the results?4. Decide about significance using the p-value.Q 4. (A)

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MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Phoenix Lumber Company uses the number of construction permits issued to help estimate demand (sales). The firm collected the following data on annual sales and number of construction permits issued in its market area: No. of Construction Sales Year Permits Issued (000) (1,000,000) 2003 6.50 10.30 2004 6.20 10.10 2005 6.60 10.50 2006 7.30 10.80 2007 7.80 11.20 2008 8.20 11.40 2009 8.30 11.30 (a) Which variable is the dependent variable and which is the independent variable? (b) Determine the estimated regression line. (c) Calculate the coefficient of determination. Give an economic interpretation to the value obtained. (d) Suppose that 8,000 construction permits are expected to be issued in 2010. What would be the point estimate of Phoenix Lumber Company's sales for 2010? Q 3. (B) Following output for the multiple regression problem shows results as results. SUMMARY OUTPUT Regression Statistics Multiple R 0.70955 R Square 0.503461 Adjusted R Square 0.410359 Standard Error 2.130054 Observations 20 ANOVA df SS MS F Significance F Regression 3 73.60593 24.53531 5.40767 0.0092117 Residual 16 72.59407 4.537129 Total 19 146.2 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 48.63081 6.3247384 7.688984 9.2E-07 35.222968 62.038661 Price of Coke -0.3035 0.1711745 -1.77307 0.09525 -0.6663779 0.0593694 Ad Expenditure 0.342937 0.1655882 2.071021 0.05489 -0.0080947 0.6939678 Pepsi Price 0.23406 0.1393504 1.679653 0.11244 -0.0613493 0.5294699 1. Find and Interpret Adjusted Coefficient of Determination, Adjusted R2, and the Correlation Coefficient, R. 2. The ANOVA table gives the F statistic for testing the claim that there is no significant relationship between your all of your independent and dependent variables. The sig. value is your p value. Using p-value decide you should Reject or Accept claim. 3. Write the Fitted Regression line from the results? 4. Decide about significance using the p-value.

Business Economics...
о3. (A)
Phoenix Lumber Company uses the number of construction
permits issued to help estimate demand (sales). The firm
collected the following data on annual sales and number of
construction permits issued in its market area:
No. of Construction Sales
Year Permits Issued (000)(1,000,000)
2003
2004
2005
2006
6.50
|10.30
6.20
10.10
6.60
10.50
7.30
10.80
2007
2008
2009
7.80
11.20
8.20
11.40
8.30
11.30
(a) Which variable is the dependent variable and which is the independent variable?
(b)Determine the estimated regression line.
(c) Calculate the coefficient of determination. Give an economic interpretation to the
value obtained.
(d) Suppose that 8,000 construction permits are expected to be issued in 2010. What
would be the point estimate of Phoenix Lumber Company's sales for 2010?
Q 3.
Following output for the multiple regression problem shows
(B)
results as results.
SUMMARY OUTPUT
Regression Statistics
0.70955
0.503461
Multiple R
R Square
Adjusted R Square 0.410359
Standard Error
Observations
2.130054
20
ANOVA
df
MS
F
Significance F
Regression
Residual
Total
73.60593 24.535315.40767
72.594074.537129
3
0.0092117
16
19
146.2
Coefficients Standard Error t Stat P-value Lower 95% Upper 95 %
6.3247384 7.688984 9.2E-07
0.1711745 -1.77307 0.09525
0.1655882 2.071021 0.05489
0.1393504 1.679653 0.11244
48.63081
Intercept
Price of Coke
Ad Expenditure
Pepsi Price
-0.3035
0.342937
0.23406
35.222968 62.038661
-0.6663779 0.0593694
-0.0080947 0.6939678
-0.0613493 0.5294699
1. Find and Interpret Adjusted Coefficient of Determination,
Adjusted R?, and the Correlation Coefficient, R.
2. The ANOVA table gives the F statistic for testing the claim
that there is no significant relationship between your all of
your independent and dependent variables. The sig. value
is your p value. Using p-value decide you should Reject or
Accept claim.
3. Write the Fitted Regression line from the results?
4. Decide about significance using the p-value.
Q 4. (A)

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