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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?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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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"
Transcribed Image Text: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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