The management at a company that sells and services exercise equipment would like to determine if there is a relationship between the number of minutes required to complete a routine service call and the number of machines serviced. A random sample of 12 records revealed the information available below concerning the number of machines serviced and the time (in minutes) to complete the routine service call. Complete parts a and b below. E Click the icon to view the data. ..... a. Estimate the least squares regression equation. The regression equation is y= ) x. (Round to two decimal places as needed.) b. If a gymnasium had nine machines, how many minutes should the company expect a routine service call to require. A routine service call should require about minutes if there are nine machines. (Round to the nearest minute as needed.) - X Cost of Small Projects Data Number of Service Time (minutes) 115 Machines 12 8 10 65 80 85 50 60 8. 7 65 3 40 95 11 4 45 35 11 105
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.
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