You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 59 33 18 28 43 29 71 35 66 32 32 31 33 26 60 29 20 23 69 34 Ho: ρ = 0 Ha: ρ > 0 Find the Linear Correlation Coefficient r = ________ Find the p-value p = ________ *** FILL IN THE BLANKS ***
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.
You wish to determine if there is a
| Driver Age | Number of Driver Deaths per 100,000 |
|---|---|
| 59 | 33 |
| 18 | 28 |
| 43 | 29 |
| 71 | 35 |
| 66 | 32 |
| 32 | 31 |
| 33 | 26 |
| 60 | 29 |
| 20 | 23 |
| 69 | 34 |
Ho: ρ = 0
Ha: ρ > 0
Find the Linear
r = ________
Find the p-value
p = ________
*** FILL IN THE BLANKS ***
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