The coefficient of determination is simply the correlation 1 coefficient squared. is a measure of the "goodness" of fit. measures how much of the variation 3 in the response variable is explained by the explanatory variable. 4 all of the above

Q: Cereal again The correlation between a cereal’s fiberand potassium contents is r = 0.903. What…

A: The correlation between cereal’s fiber and potassium contents is r=0.903.

Q: Use the value of the linear correlation coefficient r to find the coefficient of determination and…

A: We have given that the linear correlation coefficient between two variables is r = 0.712.     Note:…

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A: Solution

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Q: The coefficient of determination is Select one: a. the correlation coefficient squared b. the square…

A: The determination coefficient is a statistical measurement which examines how differences in one…

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A: Measures of Location: Measures of locations are calculated when we need information by location of…

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A:

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Q: 6. Which statistical tool studies the relationship between two or more variables? a. Median b. Range…

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Q: (a) the value of k. (b) the mean and variance of X. (c) P(l£xs3).

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Q: The ________ statistic tests whether the means of more than two groups are equal A.) Chi-Square B.)…

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Q: Use the value of the linear correlation coefficient r to find the coefficient of determination and…

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A: given  r =cov(x,y)σxσy=0.9

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.