The following table shows the rate R of vehicular involvement in traffic accidents (per 100,000,000 vehicle-miles) as a function of vehicular speed s, in miles per hour, for commercial vehicles driving at night on urban streets. Speed s Accident rate R 20 1600 25 750 30 250 35 350 40 650 45 1250 (a) Use regression to find a quadratic model for the data. (Round the regression parameters to two decimal places.) R = (b) Calculate R(50). (Round your answer to two decimal places.) R(50) =
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 following table shows the rate R of vehicular involvement in traffic accidents (per 100,000,000 vehicle-miles) as a
Speed s Accident rate R
20 1600
25 750
30 250
35 350
40 650
45 1250
(a) Use regression to find a quadratic model for the data. (Round the regression parameters to two decimal places.)
R =
(b) Calculate
R(50).
(Round your answer to two decimal places.)
R(50) =
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