RegressionResidualTVST11.00000.0000Total3.0942StandardCoefficientsError11.79250.1680t StatIntercept% WRKP-value Lower 95% Upper 95%0.00010.0000SEPredictedPIPIPredictedValueLowerUpper95%LowerUpper95%хоValue95%95%67.000072.000076.000065.61220.720175.86120.578184.06031.0964Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working in a coon this paragraph of text, use the correct excel output above to answer the following question.The Least Squares Method determines the values of bo and bj that minimize this sum. What is the resulting value?a. 7.5438b. 3.0942c. 0.6858d. 34.0362e. None of the answers is correctClick Save and Submit to save and submit. Click Save All Answers to save all answers.MacBook Air000D00 F420F3%2$4SC233 Dep.=% WRKIndep.= % MGTSUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservationsANOVASignificancedfRegressionResidualTotal0.000011.00000.6858StandardError2.69280.0372Coefficientst StatP-value Lower 95% Upper 95%Intercept% MGT0.00000.0000SECICIPIPredictedPredictedLowerUpperLowerUpper95%ValueValue95%95%95%67.000067.84740.3390k Save and Submit to save and submit. Click Save All Answers to save all answers.MacBook AirS

The least squares Method determines the values of b0 and b1 that minimizes the sum of the squares of…

Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working on this paragraph of text, use the correct excel output above to answer the following question. The Least Squares Method determines the values of bo and b1 that minimize this sum. What is the resulting value? a. 7.5438 b. 3.0942 c. 0.6858

Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working on this paragraph of text, use the correct excel output above to answer the following question. The Least Squares Method determines the values of bo and b1 that minimize this sum. What is the resulting value? a. 7.5438 b. 3.0942 c. 0.6858

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

Regression
Residual
TVST
11.0000
0.0000
Total
3.0942
Standard
Coefficients
Error
11.7925
0.1680
t Stat
Intercept
% WRK
P-value Lower 95% Upper 95%
0.0001
0.0000
SE
Predicted
PI
PI
Predicted
Value
Lower
Upper
95%
Lower
Upper
95%
хо
Value
95%
95%
67.0000
72.0000
76.0000
65.6122
0.7201
75.8612
0.5781
84.0603
1.0964
Is there a relationship between the percent of management jobs held by men in a company (% MGT) and the percent of men working in a co
on this paragraph of text, use the correct excel output above to answer the following question.
The Least Squares Method determines the values of bo and bj that minimize this sum. What is the resulting value?
a. 7.5438
b. 3.0942
c. 0.6858
d. 34.0362
e. None of the answers is correct
Click Save and Submit to save and submit. Click Save All Answers to save all answers.
MacBook Air
000
D00 F4
20
F3
%2$
4
SC
23
3

Dep.=% WRK
Indep.= % MGT
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Significance
df
Regression
Residual
Total
0.0000
11.0000
0.6858
Standard
Error
2.6928
0.0372
Coefficients
t Stat
P-value Lower 95% Upper 95%
Intercept
% MGT
0.0000
0.0000
SE
CI
CI
PI
Predicted
Predicted
Lower
Upper
Lower
Upper
95%
Value
Value
95%
95%
95%
67.0000
67.8474
0.3390
k Save and Submit to save and submit. Click Save All Answers to save all answers.
MacBook Air
S

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