Using 20 observations, the following regression output is obtained fromestimating y = Bo + B1x + B2d + B3xd + E.Coefficients Standard Errort Stat p-valueIntercept15.583.284.750.0002.310.603.850.000d-6.713.05-2.200.043xd3.600.804.500.000a. Computeŷ for x= 11 and d = 1; then compute ŷ for x= 11 and d= 0. (Roundintermediate calculations to at least 4 decimal places and finalanswers to 2 decimal places.)x= 11 and d = 1x= 11 and d = 0

Given - The 20 observation The following regression output is obtained from estimating y= β0 + β1 x…

Using 20 observations, the following regression output is obtained fro estimating y = Bo + B1x + B2d + B3xd + ɛ. t Stat p-value 0.000 0.000 0.043 Coefficients Standard Error Intercept 15.58 3.28 4.75 2.31 0.60 3.85 -6.71 3.05 -2.20 xd 3.60 0.80 4.50 0.000 a. Compute ŷ for x= 11 and d=1; then compute ŷ for x= 11 and d= 0. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) x = 11 and d = 1 x= 11 and d = 0

Using 20 observations, the following regression output is obtained fro estimating y = Bo + B1x + B2d + B3xd + ɛ. t Stat p-value 0.000 0.000 0.043 Coefficients Standard Error Intercept 15.58 3.28 4.75 2.31 0.60 3.85 -6.71 3.05 -2.20 xd 3.60 0.80 4.50 0.000 a. Compute ŷ for x= 11 and d=1; then compute ŷ for x= 11 and d= 0. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) x = 11 and d = 1 x= 11 and d = 0

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

Using 20 observations, the following regression output is obtained from
estimating y = Bo + B1x + B2d + B3xd + E.
Coefficients Standard Error
t Stat p-value
Intercept
15.58
3.28
4.75
0.000
2.31
0.60
3.85
0.000
d
-6.71
3.05
-2.20
0.043
xd
3.60
0.80
4.50
0.000
a. Compute
ŷ for x= 11 and d = 1; then compute ŷ for x= 11 and d= 0. (Round
intermediate calculations to at least 4 decimal places and final
answers to 2 decimal places.)
x= 11 and d = 1
x= 11 and d = 0

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