Use the data in the following​ table, which lists​ drive-thru order accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table.     ​Drive-thru Restaurant      A B C D Order Accurate 330 278 232 127 Order Not Accurate 32 59 34 13   If two orders are​ selected, find the probability that they are both from Restaurant D. a. Assume that the selections are made with replacement. Are the events​ independent? b. Assume that the selections are made without replacement. Are the events​ independent? a. Assume that the selections are made with replacement. Are the events​ independent?   The probability of getting two orders from Restaurant D is?The events ▼   are not are independent because choosing the first order ▼   does not affect affects the choice of the second order. ​(Round to four decimal places as​ needed.) b. Assume that the selections are made without replacement. Are the events​ independent?   The probability of getting two orders from Restaurant D is?The events ▼   are not are independent because choosing the first order ▼   does not affect affects the choice of the second order. ​(Round to four decimal places as​ needed.)

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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.