or #'s 6-9 refer to the following setting. Do aller students require fewer steps to walk a ixed distance? The scatterplot shows the elationship between x = height (in inches) nd y = number of steps required to walk the ength of a school hallway for a random ample of 36 students at a high school. Assume all conditions of inference are met. A east-squares regression analysis was erformed on the data. Below is some omputer output from the analysis. 55 50 45 62 64 66 68 70 72 74 Height (in.) Fredictor Coet SE Cont Conatant 113.57 13.085 0.000 Beight -0.211 0.13 ... S-3.50429 What is the estimate for a (alpha)? Number of steps

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What are the anwsers to the values being answered in the 4 questions
For #'s 6-9 refer to the following setting. Do
taller students require fewer steps to walk a
fixed distance? The scatterplot shows the
relationship between x = height (in inches)
and y = number of steps required to walk the
length of a school hallway for a random
sample of 36 students at a high school.
Assume all conditions of inference are met. A
least-squares regression analysis was
performed on the data. Below is some
computer output from the analysis.
65 -
60 -
55-
50-
45-
40
60
62
64
66
68
70
72
74
Height (in.)
Predictor
Coef
SE Coef
Conatant
113.57
e.479
13.O85
0.000
Height
-0.9211
0.1938
...
S-3.50429
R-Sq - 39.9
R-Sg(adi) - 38.1
What is the estimate for a (alpha)?
[Only enter the value.] *
Your answer
What is the estimate for B? [Only
enter the value.] *
Your answer
What is the estimate for o? [Only
enter the value.] *
Your answer
Give the standard error of the slope
SE_b. [Only enter the value.] *
Your answer
Number of steps
Transcribed Image Text:For #'s 6-9 refer to the following setting. Do taller students require fewer steps to walk a fixed distance? The scatterplot shows the relationship between x = height (in inches) and y = number of steps required to walk the length of a school hallway for a random sample of 36 students at a high school. Assume all conditions of inference are met. A least-squares regression analysis was performed on the data. Below is some computer output from the analysis. 65 - 60 - 55- 50- 45- 40 60 62 64 66 68 70 72 74 Height (in.) Predictor Coef SE Coef Conatant 113.57 e.479 13.O85 0.000 Height -0.9211 0.1938 ... S-3.50429 R-Sq - 39.9 R-Sg(adi) - 38.1 What is the estimate for a (alpha)? [Only enter the value.] * Your answer What is the estimate for B? [Only enter the value.] * Your answer What is the estimate for o? [Only enter the value.] * Your answer Give the standard error of the slope SE_b. [Only enter the value.] * Your answer Number of steps
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