Compare and contrast z-tests, t-tests, correlation, and linear regression.

In this section, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately. In this discussion, you will work with a cars data set that includes two variables: Miles per gallon (coded as mpg in the data set) Weight of the car (coded as wt in the data set)   The random sample was drawn from a CSV file. This data from the Python script is below and will help to answer questions about your unique sample data. In your post, address the following questions using all the data provided:   Unnamed: 0 mpg cyl disp hp drat…

What is the difference between a Multiple Regression model and a Multivariate Regression model? Suppose a researcher wants to predict the probability of a patient being diagnosed with breast cancer given their be used? age, family history, and smoking status. What type of regression model should alsboin sisiurviluM bae alqiluM alm?

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