An exercise science researcher is studying whether a relationship exists between the number of hours a person spends watching TV every day day (x) and the number of consecutive times that person can jump in the air before getting tired. (y). The results were: y = a+bx b = -0.99 a = 23.8 r2 = 0.6075 r = -0.7794 If a person watches 13 hours of television a day, predict how many times they can jump in the air. If a person can jump in the air 5 times, what is the prediction for the number of hours of television they watch a day? hours

An exercise science researcher is studying whether a relationship exists between the number of hours a person spends watching TV every day day (x) and the number of consecutive times that person can jump in the air before getting tired. (y). The results were: y = a+bx b = -0.99 a = 23.8 r2 = 0.6075 r = -0.7794 If a person watches 13 hours of television a day, predict how many times they can jump in the air. If a person can jump in the air 5 times, what is the prediction for the number of hours of television they watch a day? hours

College Algebra

10th Edition

ISBN:9781337282291

Author:Ron Larson

Publisher:Ron Larson

Chapter5: Exponential And Logarithmic Functions

Section: Chapter Questions

Problem 39CT: The population P (in millions) of Texas from 2001 through 2014 can be approximated by the model...

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

y = a+bx
b = -0.99
a = 23.8
r² = 0.6075
r = -0.7794

If a person watches 13 hours of television a day, predict how many times they can jump in the air.
If a person can jump in the air 5 times, what is the prediction for the number of hours of television they watch a day?

hours

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