QUESTION 39 A regression equation showing the relationship between the pr 9 = 14,500 – (0.075)x %3D n testing the hypothesis that the car's price is negatively relate he estimated slope coefficient equals 0.015. Thus, one can rea significant at the 5% signficance level. You are told that the associated t-statistic value is -1.98. O True O False
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 39
A regression equation showing the relationship between the price of a used car and its mileage is estimated as follows:
ŷ=14,500- (0.075)x
In testing the hypothesis that the car's price is negatively related to its mileage, you determine that the standard error of
the estimated slope coefficient equals 0.015. Thus, one can reasonably infer that this negative relationship is statistically
significant at the 5% signficance level.
You are told that the associated t-statistic value is -1.98.
O True
O False](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5631fd23-38fc-44c7-b387-9304ce5bce88%2Fb6fc63c3-9cc6-4115-a7e4-4783d7ca564e%2Fwq8smd6_processed.jpeg&w=3840&q=75)
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