The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=5 wins (b) x=10 wins (c) x=19 wins (d) x=15 wins LOADING... Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y=nothingx+nothing. (Round to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. 5 parts remaining Clear All Check Answer Wins and ERA Wins, x Earned run average, y 20 2.69 18 3.25 17 2.73 16 3.65 14 3.89 12 4.36 11 3.76
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x=5 wins (b) x=10 wins (c) x=19 wins (d) x=15 wins LOADING... Click the icon to view the table of numbers of wins and earned run average. The equation of the regression line is y=nothingx+nothing. (Round to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. 5 parts remaining Clear All Check Answer Wins and ERA Wins, x Earned run average, y 20 2.69 18 3.25 17 2.73 16 3.65 14 3.89 12 4.36 11 3.76
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
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for
scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not.
eight
baseball pitchers in a recent season. Find the equation of the regression line. Then construct a |
(a)
x=5
wins |
(b)
x=10
wins |
(c)
x=19
wins |
(d)
x=15
wins |
|
LOADING...
The equation of the regression line is
y=nothingx+nothing.
(Round to two decimal places as needed.)
Enter your answer in the edit fields and then click Check Answer.
|
Clear All
|
Check Answer
|
Wins and ERA
|
|
|
|
|
|
|
Wins, x
|
Earned run average, y
|
|
|---|---|---|---|
|
|
20
|
2.69
|
|
|
|
18
|
3.25
|
|
|
|
17
|
2.73
|
|
|
|
16
|
3.65
|
|
|
|
14
|
3.89
|
|
|
|
12
|
4.36
|
|
|
|
11
|
3.76
|
|
|
|
|
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