Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 232 264 361 467 537 Crash Fatality Rate 16 15.8 15.6 15.5 15 Find the equation of the regression line. y=nothing+(nothing)x (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports is nothing fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. B. Since there appears to be an outlier, the prediction is not appropriate. C. Since the sample size is small, the prediction is not appropri
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports 232 264 361 467 537 Crash Fatality Rate 16 15.8 15.6 15.5 15 Find the equation of the regression line. y=nothing+(nothing)x (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.) The best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports is nothing fatalities per 100,000 population. (Round to one decimal place as needed.) Is the prediction worthwhile? A. Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile. B. Since there appears to be an outlier, the prediction is not appropriate. C. Since the sample size is small, the prediction is not appropri
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are
525
metric tons of lemon imports. Is the prediction worthwhile?|
Lemon Imports
|
232
|
264
|
361
|
467
|
537
|
|
|---|---|---|---|---|---|---|
|
Crash Fatality Rate
|
16
|
15.8
|
15.6
|
15.5
|
15
|
|
Find the equation of the regression line.
y=nothing+(nothing)x
(Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)
The best predicted crash fatality rate for a year in which there are
525
metric tons of lemon imports is
nothing
fatalities per 100,000 population.(Round to one decimal place as needed.)
Is the prediction worthwhile?
Since all of the requirements for finding the equation of the regression line are met, the prediction is worthwhile.
Since there appears to be an outlier, the prediction is not appropriate.
Since the sample size is small, the prediction is not appropri
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