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