I have no idea how to fill in the blank in this regression output... please help The regression equation is4756Реople43.9 PricePredictorConstantPriceCoef SE Coef151.80.000-43.851-13.79 0.000S% =R-Sq =Analysis of VarianceSourceRegressionResidual ErrorTotalDFSSMSP.1 3348227321371810680.000176133

Solution : Given : Given regression equation is, People = 4756 - 43.9 Price The general ANOVA table…

The regression equation is Рeople 4756 43.9 Price Predictor Сoef SE Coef Constant 151.8 0.000 Price -43.851 -13.79 0.000 R-Sq %3D Analysis of Variance Source DF SS MS F Regression Residual Error 33482273 0.000 21 176133 Total 37181068

The regression equation is Рeople 4756 43.9 Price Predictor Сoef SE Coef Constant 151.8 0.000 Price -43.851 -13.79 0.000 R-Sq %3D Analysis of Variance Source DF SS MS F Regression Residual Error 33482273 0.000 21 176133 Total 37181068

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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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

I have no idea how to fill in the blank in this regression output... please help

The regression equation is
4756
Реople
43.9 Price
Predictor
Constant
Price
Coef SE Coef
151.8
0.000
-43.851
-13.79 0.000
S% =
R-Sq =
Analysis of Variance
Source
Regression
Residual Error
Total
DF
SS
MS
P.
1 33482273
21
37181068
0.000
176133

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