Newburg Park, Florida is a popular, beach resort town. Property values are fairly high there and, as such, are rather well studied. One topic of study has been the relationship between housing prices and distance from the beach. For a recent sample of 22 houses sold in Newburg Park in the past year, the value of the sample correlation coefficient r relating the variables house price and distance from the beach was –0.28. Test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.10 level of significance, and perform a two-tailed tes Then fill in the table below.

Newburg Park, Florida is a popular, beach resort town. Property values are fairly high there and, as such, are rather well studied. One topic of study has been the relationship between housing prices and distance from the beach. For a recent sample of 22 houses sold in Newburg Park in the past year, the value of the sample correlation coefficient r relating the variables house price and distance from the beach was –0.28. Test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.10 level of significance, and perform a two-tailed tes Then fill in the table below.

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

Newburg Park, Florida is a popular, beach resort town. Property values are fairly high there and, as such, are rather well studied. One topic of study has been
the relationship between housing prices and distance from the beach.
For a recent sample of 22 houses sold in Newburg Park in the past year, the value of the sample correlation coefficient r relating the variables house price ane
distance from the beach was - 0.28. Test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population
correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.10 level of significance, and perform a two-tailed tes
Then fill in the table below.
(If necessary, consult a list of formulas.)
The null hypothesis:
H, :0
The alternative hypothesis:
H, :0
1
D=0
OSO
The type of test statistic:
(Choose one)
O#0
O<O
The value of the test statistic:
(Round to at least three
decimal places.)
The two critical values at the
0.10 level of significance:
and I
(Round to at least three
decimal places.)
Based on the information, can we conclude (using
the 0.10 level) that there is a significant linear.

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