A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 8 2 7992 07 4 4 9 Books 0 8 000 4 9 1 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: "Ho: ? = 0 Hạ: ? + 0 The p-value is: Round to 4 decimal places. c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful. O There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies. O There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate. O There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies. d. p2 = |(Round to two decimal places)
A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 8 2 7992 07 4 4 9 Books 0 8 000 4 9 1 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: "Ho: ? = 0 Hạ: ? + 0 The p-value is: Round to 4 decimal places. c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically significant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the regression line is useful. O There is statistically significant evidence to conclude that a person who watches fewer movies will read fewer books than a person who watches fewer movies. O There is statistically insignificant evidence to conclude that there is a correlation between the number of movies watched per year and the number of books read per year. Thus, the use of the regression line is not appropriate. O There is statistically significant evidence to conclude that a person who watches more movies will read fewer books than a person who watches fewer movies. d. p2 = |(Round to two decimal places)
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 11PPS
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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
Transcribed Image Text:A study was done to look at the relationship between number of movies people watch at the theater
each year and the number of books that they read each year. The results of the survey are shown
below.
Movies
8 2 7
9 20 7
4 4 9
Books
08
4
9
a. Find the correlation coefficient:r =
Round to 2 decimal places.
b. The null and alternative hypotheses for correlation are:
`Ho:
= 0
The p-value is:
Round to 4 decimal places.
c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the
context of the study.
O There is statistically significant evidence to conclude that there is a correlation between
the number of movies watched per year and the number of books read per year. Thus,
the regression line is useful.
O There is statistically significant evidence to conclude that a person who watches fewer
movies will read fewer books than a person who watches fewer movies.
O There is statistically insignificant evidence to conclude that there is a correlation
between the number of movies watched per year and the number of books read per
year. Thus, the use of the regression line is not appropriate.
O There is statistically significant evidence to conclude that a person who watches more
movies will read fewer books than a person who watches fewer movies.
d. p2 =|
|(Round to two decimal places)
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