A professor was doing a study on the relationship between the amount of television a person watches per day (in hours) and the person's IQ. The professor found that a linear relationship exists between the two variables and determined the equation of the least squares regression line to be ĝ = -0.4x + 107. Interpret the slope. [ Select ] ( Select ] As a person's IQ increases by 1 point, the amount the person spends watching television increases by 0.4 hours, on average. As a person's IQ increases by 1 point, the amount the person spends watching television decreases by 0.4 hours, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to increase by 0.4 points, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to decrease by 0.4 points, on average. Predict the IQ of a person who watches 3 hours of television per day. [ Select] Dexter spends 4 hours watching television per day and has an IQ of 110. Calculate Dexter's residual. (Do not round your values.) [ Select]

A professor was doing a study on the relationship between the amount of television a person watches per day (in hours) and the person's IQ. The professor found that a linear relationship exists between the two variables and determined the equation of the least squares regression line to be ĝ = -0.4x + 107. Interpret the slope. [ Select ] ( Select ] As a person's IQ increases by 1 point, the amount the person spends watching television increases by 0.4 hours, on average. As a person's IQ increases by 1 point, the amount the person spends watching television decreases by 0.4 hours, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to increase by 0.4 points, on average. As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to decrease by 0.4 points, on average. Predict the IQ of a person who watches 3 hours of television per day. [ Select] Dexter spends 4 hours watching television per day and has an IQ of 110. Calculate Dexter's residual. (Do not round your values.) [ Select]

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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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

Interpret the y-intercept, if appropriate.
[Select ]
Predict the IQ of a person who watches 3 hours of television per day.
[ Select ]
Dexter spends 4 hours watching television per day and has an IQ of 110. Calculate Dexter's residual. (Do not round your
values.)
[ Select]
Interpret the residual that you found earlier.
[ Select ]
[ Select ]
Dexter's IQ is below predicted.
Dexter's IQ is above predicted.

A professor was doing a study on the relationship between the amount of television a person watches per day (in hours) and the
person's IQ. The professor found that a linear relationship exists between the two variables and determined the equation of the
least squares regression line to be ŷ = -0.4x + 107.
Interpret the slope.
[ Select ]
( Select ]
As a person's IQ increases by 1 point, the amount the person spends watching television increases by 0.4 hours, on average.
As a person's IQ increases by 1 point, the amount the person spends watching television decreases by 0.4 hours, on average.
As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to increase by 0.4 points, on average.
As the amount of time a person watches TV increases by 1 hour, the person's IQ is expected to decrease by 0.4 points, on average.
Predict the IQ of a person who watches 3 hours of television per day.
[ Select]
Dexter spends 4 hours watching television per day and has an IQ of 110. Calculate Dexter's residual. (Do not round your
values.)
[ Select ]
Internret the recidual that vou found earlier

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