Use SAS output for a random sample of size 20 to answer the following questions. Regression of yon X and X₂ Regression of y on X.X and X₂ Source Model Error Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of DF Squares Mean Square F Value Pr > F 2 1317.79841 658.89921 20.84 <.0001 17 537.40359 31.61198 x1 Corrected Total 19 1855.20200 R-Square Coeff Var Root MSE 0.818318 22.31297 4.589778 Standard Error Parameter Estimate Intercept -36.76492528 7.01092577 0.00076294 0.00063630 y Mean 20.57000

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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Use SAS output for a random sample of size 20 to answer the following questions.
Regression of yon X and X₂
Regression of y on X₁.X and X₂
1
= 8.40
F1.17, 0.99
F3.16, 0.99 = 5.29
b) Calculate
F1,17, 0.95 = 4.45
F3.16, 0.95 = 3.24
Source
Model
Error
Parameter
Intercept
Corrected Total 19 1855.20200
x1
x2
x3
R-Square Coeff Var Root MSE
0.818318 22.31297 4.589778
Source DF
1
1
1
x1
x2
x3
Number of Observations Read 20
Number of Observations Used 20
x1
x2
x3
Analysis of Variance
Sum of
DF Squares
Mean
Square F Value Pr > F
2 1317.79841 658.89921 20.84 <.0001
17 537.40359 31.61198
Source
Model
Error
Standard
Estimate
Error
-36.76492528 7.01092577
0.00076294 0.00063630
1.19217421 0.56165391
4.71982137 1.53047547
Source DF
Type III SS
1
30.2855361
1
94.9129162
1 200.3465296
Type I SS
8.352481
1309.445931
200.346530
3
16
Corrected Total 19
DF Sum of Squares Mean Square F Value Pr > F
24.02 0001
1518 144941
337.057059
1855.202000
506 048314
21.066066
y Mean
20.57000
F2,17,0.99 = 6.11
F4,16,0.99 = 4.77
F2,17, 0.95 = 3.59
F4,16, 0.95 = 3.01
Transcribed Image Text:Use SAS output for a random sample of size 20 to answer the following questions. Regression of yon X and X₂ Regression of y on X₁.X and X₂ 1 = 8.40 F1.17, 0.99 F3.16, 0.99 = 5.29 b) Calculate F1,17, 0.95 = 4.45 F3.16, 0.95 = 3.24 Source Model Error Parameter Intercept Corrected Total 19 1855.20200 x1 x2 x3 R-Square Coeff Var Root MSE 0.818318 22.31297 4.589778 Source DF 1 1 1 x1 x2 x3 Number of Observations Read 20 Number of Observations Used 20 x1 x2 x3 Analysis of Variance Sum of DF Squares Mean Square F Value Pr > F 2 1317.79841 658.89921 20.84 <.0001 17 537.40359 31.61198 Source Model Error Standard Estimate Error -36.76492528 7.01092577 0.00076294 0.00063630 1.19217421 0.56165391 4.71982137 1.53047547 Source DF Type III SS 1 30.2855361 1 94.9129162 1 200.3465296 Type I SS 8.352481 1309.445931 200.346530 3 16 Corrected Total 19 DF Sum of Squares Mean Square F Value Pr > F 24.02 0001 1518 144941 337.057059 1855.202000 506 048314 21.066066 y Mean 20.57000 F2,17,0.99 = 6.11 F4,16,0.99 = 4.77 F2,17, 0.95 = 3.59 F4,16, 0.95 = 3.01
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