Significance level of 0.05, test whether the slope of the regression line is negative. The regression...
Significance level of 0.05, test whether the slope of the regression line is negative.
The regression equation is, Y = 6.0 - 0.7x
predictor coef stdev t-ratio
constant 6.0 2.558 2.32
X -0.7 0.086 -8.28
ANOVA
source df ss ms F
regression 1 648.12 648.12 68.58
error 6 56.72 9.45
total 7 704.84
Homework Answers
ANSWER:
GIVEN THAT
Significance level of 0.05
The regression equation is, Y = 6.0 - 0.7 x
- We need to test if the slope is negative.
n = Total d+ 1 = 7 + 1 = 8
n=8
- Hence, Degrees of freedom for slope testing = n - 2 = 8 - 2 = 6
- This is a left tailed test so critical t value at 0.05 significance level = -1.943
- Obtained t value from output = -8.28 since -8.28 is less than the critical value, we reject Ho.
- Therefore, we can conclude that the slope of the regression line is negative.
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Significance level of 0.05, test whether the slope of the
regression line is negative.
The regression...
Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on...
Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on the slope of the line. The regression equation is, Y = 6.0 - 0.7x predictor coef stdev t-ratio constant 6.0 2.558 2.32 X -0.7 0.086 -8.28 ANOVA source df ss ms F regression 1 648.12 648.12 68.58 error 6 56.72 9.45 total 7 704.84
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Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance...
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df SS MS F Significance F Regression 33 334.126370334.126370 111.375457111.375457 0.7082900.708290 0.5813510.581351 Residual 66 943.473630943.473630 157.245605157.245605 Total 99 1277.6000001277.600000 Yes or No?
(10 points) The following regression output is available. Notice that some of the values are missing....
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
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(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
Based on the anova presented perform the overall f test and state
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Construct a 95% confidence interval estimate of the population
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