An independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house from the airport(X,), the time since the house was built (X,), are significant or not. He collects data from 280 prospective locations and estimates the following regression equation:Y = 2.5 -0.88X, +1.98X2.(0.98) (2.14)The 95% confidence interval for the slope coefficient B,, keeping the other variables constant will be(Round your answer to two decimal places. Enter a minus sign if your answer is negative.)oweppeBased on the calculated confidence intervals, we can say that at the 5% significance level, we willV the hypothesis B, = 0.The 99% confidence interval for the slope coefficient B,, keeping the other variables constant will be (.1.04(Round your answer to two decimal places. Enter a minus sign if your answer is negative.)Based on the calculated confidence intervals, we can say that at the 1% significance level, we willthe hypothesis B, = 0.1260.019fail to rejectrejectEnter your answer in each of the answer boxes.DELL

The critical value from student t distribution at 95% level of significance at n-2 degree of freedom…

an independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house frc X,), the time since the house was built (X,), are significant or not. He collects data from 280 prospective locations and estimates the following regression e Ý = 2.5 -0.88X, + 1.98X2 (0.98) (2.14) The 95% confidence interval for the slope coefficient B,, keeping the other variables constant will be ( ) (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) V the hypothesis B, = 0. Based on the calculated confidence intervals, we can say that at the 5% significance level, we will The 99% confidence interval for the slope coefficient B,, keeping the other variables constant will be ( D (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) the hypothesis B2 = 0. Based on the calculated confidence intervals, we can say that at the 1% significance level, we will fail to reject reject

an independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house frc X,), the time since the house was built (X,), are significant or not. He collects data from 280 prospective locations and estimates the following regression e Ý = 2.5 -0.88X, + 1.98X2 (0.98) (2.14) The 95% confidence interval for the slope coefficient B,, keeping the other variables constant will be ( ) (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) V the hypothesis B, = 0. Based on the calculated confidence intervals, we can say that at the 5% significance level, we will The 99% confidence interval for the slope coefficient B,, keeping the other variables constant will be ( D (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) the hypothesis B2 = 0. Based on the calculated confidence intervals, we can say that at the 1% significance level, we will fail to reject reject

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

100%

An independent researcher wants to investigate if the factors which determine the house rent (Y, measured in dollars), such as the distance of the house from the airport
(X,), the time since the house was built (X,), are significant or not. He collects data from 280 prospective locations and estimates the following regression equation:
Y = 2.5 -0.88X, +1.98X2.
(0.98) (2.14)
The 95% confidence interval for the slope coefficient B,, keeping the other variables constant will be
(Round your answer to two decimal places. Enter a minus sign if your answer is negative.)
owe
ppe
Based on the calculated confidence intervals, we can say that at the 5% significance level, we will
V the hypothesis B, = 0.
The 99% confidence interval for the slope coefficient B,, keeping the other variables constant will be (.
1.04
(Round your answer to two decimal places. Enter a minus sign if your answer is negative.)
Based on the calculated confidence intervals, we can say that at the 1% significance level, we will
the hypothesis B, = 0.
126
0.019
fail to reject
reject
Enter your answer in each of the answer boxes.
DELL

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