You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved in passenger vehicle occupant deaths. As part of the study, you randomly select vehicle crashes and organize the resulting data as shown in the table below. Category Car Pickup Sport Utility Single Vehicle 18 42 6 Multiple Vehicle 45 17 37 Use a 10% significance to test vehicle and type of crash are independent. Fill out the expected frequencies, rounded to 2 decimal places. Category Car Pickup Sport Utility Single Vehicle Multiple Vehicle How many degrees of freedom are there? Round to 3 decimal places for the following as needed. Use the values in the table. Find the Test Statistic: Find the P-Value: Decision Rule: There enough evidence to conclude
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 work for an insurance company and are studying the relationship between types of crashes and the vehicles involved in passenger vehicle occupant deaths. As part of the study, you randomly select vehicle crashes and organize the resulting data as shown in the table below.
Category | Car | Pickup | Sport Utility |
---|---|---|---|
Single Vehicle | 18 | 42 | 6 |
Multiple Vehicle | 45 | 17 | 37 |
Use a 10% significance to test vehicle and type of crash are independent.
Fill out the expected frequencies, rounded to 2 decimal places.
Category | Car | Pickup | Sport Utility |
---|---|---|---|
Single Vehicle | |||
Multiple Vehicle |
How many degrees of freedom are there?
Round to 3 decimal places for the following as needed. Use the values in the table.
Find the Test Statistic:
Find the P-Value:
Decision Rule:
There enough evidence to conclude
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