The data shows the final exam grades for 16 randomly selected students taking College Algebra and Statistics. Use the College Algebra scores for the independent variable and the Statistics scores for the dependent variable. Use an alpha = 0.05. College Algebra 88 97 73 92 81 79 71 90 86 58 87 68 74 86 62 95 Statistics 86 95 78 97 87 81 75 85 90 70 85 77 76 81 65 89 1. calculate r 2. determine whether to reject or not reject the null hypothesis based on the t-calculation. 3. Determine the equation of best fit. 4. When x= 80, what is Y? 5. Determine r^2 6. Determine S est. 7. Find the 95% prediction interval when x= 90.
The data shows the final exam grades for 16 randomly selected students taking College Algebra and Statistics. Use the College Algebra scores for the independent variable and the Statistics scores for the dependent variable. Use an alpha = 0.05. College Algebra 88 97 73 92 81 79 71 90 86 58 87 68 74 86 62 95 Statistics 86 95 78 97 87 81 75 85 90 70 85 77 76 81 65 89 1. calculate r 2. determine whether to reject or not reject the null hypothesis based on the t-calculation. 3. Determine the equation of best fit. 4. When x= 80, what is Y? 5. Determine r^2 6. Determine S est. 7. Find the 95% prediction interval when x= 90.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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The data shows the final exam grades for 16 randomly selected students taking College Algebra and Statistics. Use the College Algebra scores for the independent variable and the Statistics scores for the dependent variable. Use an alpha = 0.05.
College Algebra 88 97 73 92 81 79 71 90 86 58 87 68 74 86 62 95
Statistics 86 95 78 97 87 81 75 85 90 70 85 77 76 81 65 89
1. calculate r
2. determine whether to reject or not reject the null hypothesis based on the t-calculation.
3. Determine the equation of best fit.
4. When x= 80, what is Y?
5. Determine r^2
6. Determine S est.
7. Find the 95% prediction interval when x= 90.
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VIEWStep 2: Computing the correlation coefficient
VIEWStep 3: Determining the significance of r
VIEWStep 4: Determining the equation of best fit and predicting Y at X=80
VIEWStep 5: Computing the value of coefficient of determination and the standard error of the estimate
VIEWStep 6: Constructing a 95% prediction interval when x0= 90.
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