The computer output from a regression analysis of these data is shown below. The regression model assumptions were checked and determined to be reasonable over texting time that is represented by the data. Dependent variable is: Writing R = 57.6% s = 0.91 with 15 – 2 = 13 D.O.F. Variable: Coefficient s.e Coeff t-ratio prob Intercept 9.296 0.675 13.77 0.0000 Text 0.289 0.689 4.21 0.001 b. Use the computer output above to determine the equation of the least squares regression line. Identify all variables used in the equation. c. How much more time would be expected to write a message when the texting time is 9 seconds compared to when the texting time is 7 seconds? d. Is there statistically significant evidence that writing time is related to texting time? Explain.
The computer output from a regression analysis of these data is shown below. The regression model assumptions were checked and determined to be reasonable over texting time that is represented by the data. Dependent variable is: Writing R = 57.6% s = 0.91 with 15 – 2 = 13 D.O.F. Variable: Coefficient s.e Coeff t-ratio prob Intercept 9.296 0.675 13.77 0.0000 Text 0.289 0.689 4.21 0.001 b. Use the computer output above to determine the equation of the least squares regression line. Identify all variables used in the equation. c. How much more time would be expected to write a message when the texting time is 9 seconds compared to when the texting time is 7 seconds? d. Is there statistically significant evidence that writing time is related to texting time? Explain.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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Transcribed Image Text:The computer output from a regression analysis of these data is shown below. The regression model assumptions were checked
and determined to be reasonable over texting time that is represented by the data.
Dependent variable is: Writing
R = 57.6%
s = 0.91 with 15 – 2 = 13 D.O.F.
Variable:
Coefficient
s.e Coeff
t-ratio
prob
Intercept
9.296
0.675
13.77
0.0000
Text
0.289
0.689
4.21
0.001
b. Use the computer output above to determine the equation of the least squares regression line. Identify all variables used
in the equation.
c. How much more time would be expected to write a message when the texting time is 9 seconds compared to when the
texting time is 7 seconds?
d. Is there statistically significant evidence that writing time is related to texting time? Explain.
Transcribed Image Text:Prompt
A pangram is a sentence or verse that contains all the letters of the alphabet. A study was done to look at the association
between the time it takes to correctly text and correctly write the following pangram below.
"The quick brown fox jumps over the lazy brown dog."
The scatterplot below displays the texting time in seconds and writing time in seconds it took to complete the pangram above.
18
14
10
4.
12
16
20
Text
a. Describe the nature of the association between texting time and writing time it to complete the given pangram.
The computer output from a regression analysis of these data is shown below. The regression model assumptions were checked
and determined to be reasonable over texting time that is represented by the data.
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