Challenge activities CHALLENGE ACTIVITY 33.1: Interpreting R. Jump to level 1 A researcher is trying to determine if cell phone usage affects health. The plot below shows the relationship between the number of minutes a day a subject spends on the phone and the number of days in a year the subject was sick. The linear regression output is shown below 80 Regression Statistics Multiple R 0.16031 40 R Square 0.025699 Adjusted R Square -0.0091 20 Standard Error Observations 21.09461 30 60 70 Daily oel phone usage (in minutes) R= Ex: 0.654321 What is the correlation between daily cell phone usage and number of sick days? Pick • correlation Check Next Feedback?

Challenge activities CHALLENGE ACTIVITY 33.1: Interpreting R. Jump to level 1 A researcher is trying to determine if cell phone usage affects health. The plot below shows the relationship between the number of minutes a day a subject spends on the phone and the number of days in a year the subject was sick. The linear regression output is shown below 80 Regression Statistics Multiple R 0.16031 40 R Square 0.025699 Adjusted R Square -0.0091 20 Standard Error Observations 21.09461 30 60 70 Daily oel phone usage (in minutes) R= Ex: 0.654321 What is the correlation between daily cell phone usage and number of sick days? Pick • correlation Check Next Feedback?

Name: Please help with both questions 3.3.1 and 3.3.2Answer choices for #1Mo
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Description: Please help with both questions 3.3.1 and 3.3.2Answer choices for #1Moderate WeakStrong#2 choices MostStrong Very little 1:06 MUG 71% D= zyBooksMy library > MAT 240: Applied Statist. >3.3 Correlation and coefficient of deter.e Asha Joseph -variable c

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please help with both questions 3.3.1 and 3.3.2 Answer choices for #1 Moderate Weak Strong #2 choices Most Strong Very little

1:06 M
UG 71% D
= zyBooks
My library > MAT 240: Applied Statist. >
3.3 Correlation and coefficient of deter.
e Asha Joseph -
variable can be explained by the variation in the explanatory variable.
A coefficient of determination of 0.757 means that 75.7% of the variation in packed cell volume can be explained by the
variation in hemoglobin.
Feedback?
Challenge activities
CHALLENGE
3.3.1: Interpreting R.
ACTIVITY
Jump to level 1
A researcher is trying to determine if cell phone usage affects health. The plot below shows the relationship
between the number of minutes a day a subject spends on the phone and the number of days in a year the subject
was sick. The linear regression output is shown below.
80
60
Regression Statistics
Multiple R
R Square
0.16031
40
0.025699
Adjusted R Square
-0.0091
20
Standard Error
21.09461
Observations
30
20
30
50
60
70
Daily cell phone usage (in minutes)
R= Ex: 0.654321
What is the correlation between daily cell phone usage and number of sick days?
Pick
correlation
2
Check
Next
Feedback?
CHALLENGE
3.3.2: Interpreting R
ACTIVITY
Start
A school is trying to determine if physical activity affects academic performance. The plot below shows
the relationship between the amount of exercise a student gets per week, and the student's score on a
math final exam. The linear regression output is given below.
100
Regression Statistics
Multiple R
R Square
75
0.779146
0.607069
Adjusted R Square
0.593035
Standard Error
13.19328
Observations
30
Amount of exercise per week (in minutes)
R = Ex: 0.654321
The score on the math final exam explains how much of the variance in amount of exercise per week?
Pick
* variance
Check
Try again
Feedback?
CHALLENGE
3.3.3: Excel: Using regression to make predictions.
ACTIVITY
Click this link to download the spreadsheet for use in this activity. Use the Regression function in the Data Analysis ToolPak.
Specify the data range for the response variable in "Input Y Range" and the data range for the exxplanatory variable in "Input X
Range"

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