The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Question HelpCommute Time (minutes), xWell-Being Index Score, y515254069.1 68.1 67.2 66,3 65.1 64.4 62.56084 105 O(a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable.y=ロx+ (■)(Round to three decimal places as needed.)(b) Interpret the slope and y-intercept, if appropriate, Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)on average.O B. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)minutes.O C. For every unit increase in index score, the commute time falls by , on average.(Round to three decimal places as needed.)O D. For a commute time of zero minutes, the index score is predicted to beClick to select your answer(s).•7:55acer&#$8.6.tyreW个2 The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y5.1525 4069,1 68.1 67.2 66.3 65.1 64.4 62.560 84105 OInterpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. For every unit increase in commute time, the index score falls by, on average.(Round to three decimal places as needed.)O B. For a commute time of zero minutes, the index score is predicted to be.(Round to three decimal places as needed.)O C. For an index score of zero, the commute time is predicted to beminutes(Round to three decimal places as needed.)O D. For eery unit increase in index score, the commute time falls byon average(Round to three decimal places as needed.)O E. It is not appropriate to interpret the y-intercept because a commute time of zero minutes does not make sense and the value of zero minutes is much smaller than those observed in the data set(c) Predict the well-being index of a person whose commute time is 30 minutes.Click to select your answer(s).aceresc&8%#m

Answered: Image /qna-images/answer/2d90cbe2-736b-44d3-98f1-1f439aed55fa.jpg

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x Well-Being Index Score, y 5 15 25 40 60 84 105 O 69.1 68.1 67.2 66.3 65.1 64.4 62.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y=x+ (D (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For every unit increase in commute time, the index score falls by .on average (Round to three decimal places as needed.) O B. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) minutes. O C. For every unit increase in index score, the commute time falls by , on average. (Round to three decimal places as needed.) O D. For a commute time of zero minutes, the index score is predicted to be

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x Well-Being Index Score, y 5 15 25 40 60 84 105 O 69.1 68.1 67.2 66.3 65.1 64.4 62.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y=x+ (D (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For every unit increase in commute time, the index score falls by .on average (Round to three decimal places as needed.) O B. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) minutes. O C. For every unit increase in index score, the commute time falls by , on average. (Round to three decimal places as needed.) O D. For a commute time of zero minutes, the index score is predicted to be

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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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

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.
Commute Time (minutes), x
Well-Being Index Score, y
5.
15
25 40
69,1 68.1 67.2 66.3 65.1 64.4 62.5
60 84
105 O
Interpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
O A. For every unit increase in commute time, the index score falls by, on average.
(Round to three decimal places as needed.)
O B. For a commute time of zero minutes, the index score is predicted to be.
(Round to three decimal places as needed.)
O C. For an index score of zero, the commute time is predicted to be
minutes
(Round to three decimal places as needed.)
O D. For eery unit increase in index score, the commute time falls by
on average
(Round to three decimal places as needed.)
O E. It is not appropriate to interpret the y-intercept because a commute time of zero minutes does not make sense and the value of zero minutes is much smaller than those observed in the data set
(c) Predict the well-being index of a person whose commute time is 30 minutes.
Click to select your answer(s).
acer
esc
&
8
%#m

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