In: Statistics and Probability
Fast reactions: In a study of reaction times, the time to respond to a visual stimulus x and the time to respond to an auditory stimulus y were recorded for each of 6subjects. Times were measured in thousandths of a second. The results are presented in the following table.
| 
 Visual  | 
 Auditory  | 
| 
 138  | 
 135  | 
| 
 130  | 
 114  | 
| 
 131  | 
 120  | 
| 
 110  | 
 106  | 
| 
 101  | 
 142  | 
| 
 107  | 
 145  | 
| 
 Send data  | 
Use the -value method to test =:H0β10 versus <:H1β10. Can you conclude that visual response is useful in predicting auditory response? Use the =α0.05level of significance and TI-84 Plus calculator.Compute the least-squares regression line for predicting auditory y from visual x. Round the slope and y-intercept values to at least four decimal places.
Regression line: Y=________
P- Value _______
Reject or do not reject?
Evidence?
Note:- I have used Excel and the command is as follows
Data > Data analysis > Select the data > ok
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Output
| SUMMARY OUTPUT | ||||||
| Regression Statistics | ||||||
| Multiple R | 0.30448 | |||||
| R Square | 0.09271 | |||||
| Adjusted R Square | -0.13412 | |||||
| Standard Error | 16.98585 | |||||
| Observations | 6 | |||||
| ANOVA | ||||||
| df | SS | MS | F | Significance F | ||
| Regression | 1 | 117.9242 | 117.9242 | 0.4087 | 0.5574 | |
| Residual | 4 | 1154.0758 | 288.519 | |||
| Total | 5 | 1272 | ||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
| Intercept | 164.88155 | 59.65783 | 2.76379 | 0.05065 | -0.755126673 | 330.5182285 | 
| Visual | -0.31700 | 0.49584 | -0.63931 | 0.55739 | -1.69368588 | 1.059685027 | 
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Regression line
y = 164.88155 - (0.31700) x
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P-value = 0.55739/2 = 0.2787
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Do not reject
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Evidence = P-value > 0.05