PART FOUR:ICE TESTS400PRACTICE TEST 25. A sports researcher is studying statistics for aset of professional baseball teams over a singleseason. The researcher performs a regressionanalysis on the total payroll (in millions ofdollars) versus the number of wins. An outputof the results is shown below.7. Theis 3.thiscalcpophassamRegression Analysis: Wins versus Payroll(A)PredictorCoef.SE(B)Constant 66.4212.465.330.000(C)PayrollS= 16.9082 R-Sq 11.3% R-Sq(adj) = 3.9%0.20700.16731.240.240(D)(E)Which of the following is the bestinterpretation for the slope of the regressionline?8. Wh-rela(A) An addition of about $5 million inpayroll corresponds to 1 extra win.expe(A)(B) An addition of about $17 million inpayroll corresponds to 1 extra win.(C) An addition of about $66 million inpayroll corresponds to 1 extra win.(D) Five extra wins correspond to an addi-tion of about $1 million in payroll.(B)(C)(D)(E) One extra win corresponds to an addi-tion of about $17 million in payroll.

Given : Constant = 66.42 Slope / Coefficient of Payroll = 0.2070

Which of the following is the best interpretation for the slope of the regression line? (A) An addition of about $5 million in payroll corresponds to 1 extra win. (B) An addition of about $17 million in payroll corresponds to 1 extra win. (C) An addition of about $66 million in payroll corresponds to 1 extra win. (D) Five extra wins correspond to an addi- tion of about $1 million in payroll. (E) One extra win corresponds to an addi- tion of about $17 million in payroll.

Which of the following is the best interpretation for the slope of the regression line? (A) An addition of about $5 million in payroll corresponds to 1 extra win. (B) An addition of about $17 million in payroll corresponds to 1 extra win. (C) An addition of about $66 million in payroll corresponds to 1 extra win. (D) Five extra wins correspond to an addi- tion of about $1 million in payroll. (E) One extra win corresponds to an addi- tion of about $17 million in payroll.

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

PART FOUR:
ICE TESTS
400
PRACTICE TEST 2
5. A sports researcher is studying statistics for a
set of professional baseball teams over a single
season. The researcher performs a regression
analysis on the total payroll (in millions of
dollars) versus the number of wins. An output
of the results is shown below.
7. The
is 3.
this
calc
pop
has
sam
Regression Analysis: Wins versus Payroll
(A)
Predictor
Coef.
SE
(B)
Constant 66.42
12.46
5.33
0.000
(C)
Payroll
S= 16.9082 R-Sq 11.3% R-Sq(adj) = 3.9%
0.2070
0.1673
1.24
0.240
(D)
(E)
Which of the following is the best
interpretation for the slope of the regression
line?
8. Wh-
rela
(A) An addition of about $5 million in
payroll corresponds to 1 extra win.
expe
(A)
(B) An addition of about $17 million in
payroll corresponds to 1 extra win.
(C) An addition of about $66 million in
payroll corresponds to 1 extra win.
(D) Five extra wins correspond to an addi-
tion of about $1 million in payroll.
(B)
(C)
(D)
(E) One extra win corresponds to an addi-
tion of about $17 million in payroll.

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