A B C D G H I J K L M N O P Q
1 Simple Regression No. of McDonald's
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3 Quality Mkt Share r2 0.9846 Coefficient of Determination
4 X Y Error Confidence Interval for Slope r 0.9923 Coefficient of Correlation
5 1 7.6 2.3 0.2429 1-a (1-a) C.I. for b1
6 2 7.9 2.6 0.1158 95% 1.4236 + or - 0.1452 s(b 1 ) 0.063 Standard Error of Slope
7 3 8.3 2.9 -0.1537 t 22.61
8 4 8.6 3.2 -0.2807 Confidence Interval for Intercept p- value 0.0000
9 5 8.8 3.7 -0.0655 1-a (1-a) C.I. for b0
10 6 9 4.1 0.0498 95% -8.7625 + or - 1.37 s(b 0 ) 0.5941 Standard Error of Intercept
11 7 9.4 4.8 0.1803
12 8 10.2 5.7 -0.0586 Prediction Interval for Y
13 9 11.4 7 -0.4669 1-a X (1-a) C.I. for Y given X
14 10 12.1 8.9 0.4365 + or - s 0.2798 Standard Error of prediction
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16 Prediction Interval for E[Y|X]
17 1-a X (1-a) C.I. for E[Y | X ]
18 + or -
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20 ANOVA Table
21 Source SS df MS F F critical p -value
22 Regn. 40.01 1 40.01 511.2 5.3177 0.0000
23 Error 0.6261 8 0.0783
24 Total 40.636 9
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26 Scatter Plot, Regression Line and Regression Equation
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28 y = 1.4236x - 8.7625
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45 Residual Analysis Durbin-Watson statistic
46 d 1.9511
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Residual Plot
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Error
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62 Normal Probability Plot of Residuals
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A B C D E F G H I J K L M N O R S T U
1 Regression Using the Solver
2 To use the Solver:
3 SSE Intercept Slope Prediction Unprotect the sheet.
4 Volume Weight 0.5254 b0 b1 X Y Choose the Solver command under Tools menu.
5 X Y Error 0 1.219694 0 0 Enter the constraints using the Add button.
6 1 6.23 7.75 0.1513 Press Solve button
7 2 6.87 8.5 0.1207 10
8 3 5.54 6.85 0.0929
9 4 5.9 6.78 -0.4162 9
10 5 6.45 8 0.1330
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11 6 6.55 7.8 -0.1890
12 7 5.75 7.05 0.0368 7
13 8 6 7.35 0.0318
14 9 6.2 7.3 -0.2621 6
15 10 6.7 8 -0.1719 Adjust the scale of the axes if necessary.
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Y
16 11 7 8.69 0.1521
17 12 7.23 8.86 0.0416 4
18 13 5.3 6.25 -0.2144
19 14 6.35 7.9 0.1549 3
20 15 7.15 8.96 0.2392
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