1. In developing a regression equation from the following data to predict y by x, the slope is:
a) 1.88, b) 0.44, c) 4.76, d) 0.18
2. In developing a regression equation from the following data to predict y by x, the y intercept is:
x
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y
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11
|
|
5
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16
|
|
8
|
4
|
|
6
|
2
|
|
5
|
3
|
|
4
|
a) 3.504, b) 4.256, c) 10.550, d) 0.1867
3. A simple regression model has been developed using a sample of 11 pairs of observations. The sum of squares of error is 237.64. The standard error of the estimate is:
a) 5.139, b) 4.875, c) 4.648, d) 23.764
4. Consider the following output from a regression analysis. Based on this output, what is the equation of the regression model?
ANOVA
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|
|
|
|
|
df
|
SS
|
MS
|
F
|
Regression
|
1
|
9315.23
|
9315.23
|
8.46
|
Residual
|
9
|
9907.49
|
1100.83
|
|
Total
|
10
|
19222.73
|
|
|
|
Coefficients
|
Standard Error
|
t Stat
|
P-value
|
Intercept
|
2100.10
|
53.18
|
11.40
|
.0000019
|
X Variable 1
|
-0.51
|
1.64
|
-2.91
|
0.017341
|
a) y= 9907.49 + 9315.23x
b) y=606.47 - 4.76x
c) y= 57.60 - 11.26x
d) y= 2100.10 - 0.51x
5. The following information is obtained for a sample of 70 observations taken from a population.
SSxx = 370.628 ,se = 0.961 , and y= 155.92 - 2.93 x
Make a 97% confidence interval for B.
The 97% confidence interval for B is (___________, ____________) [Round your answers to 2 decimal places.]