A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? −0.85 −0.85 A −0.68 −0.68 B 0.68 0.68 C 0.73 0.73 D 0.85
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.
The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the
-
−0.85
−0.85A -
−0.68
−0.68B -
0.68
0.68C -
0.73
0.73D -
0.85
0.85E
The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold?
-
−0.85
−0.85A -
−0.68
−0.68B -
0.68
0.68C -
0.73
0.73D -
0.85
0.85E
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table.
| Temperature (degrees Fahrenheit) | 57 | 75 | 43 | 68 | 67 |
| Number sold | 17 | 12 | 20 | 8 | 13 |
The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold?
-
−0.85
−0.85A -
−0.68
−0.68B -
0.68
0.68C -
0.73
0.73D -
0.85
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