Question Heip v The chief of the emergency response services claims that their team responds to emergency distress calls within a 5 km radius in 360 seconds. An independent investigator wishes to test whether or not the presence of a thousand extra cars within the 5 km radius affects the emergency response time by 9.54 seconds He randomly selects 100 distress calls and estimates the following regression. Ý = 370 + 0 26X,, where Y denotes the predicted response time measured seconds for the " emergency call and X, denotes the number of cars (in thousands) on the road within a 5 km radius at time of the emergency cal If B, is the stope coefficient, which of the following options states the investigator's null and altemative hypotheses? O A. Ho B, = 9.54 and H, B, +9.54. O B. Ho P, =0.26 and H, P, +0 26. OC. Ho B, > 9.54 and H, , s9.54. O D. H. B, >0 26 and H, P, s0.26 Suppose r associated with the test the investigator wishes to conduct is 1 98 The p-value will be (Round your answer to three decimal places) the null hypothesis If the pre-specified significance level of the test was 5%, the calculated p-value suggests that we Click to select your answer(s) 604 M
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.
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