7. The picture below is a model showing the average time it takes to get to work based on the distance needed to travel. (Taken from data near Atlanta, GA) 110 100 00 80 70 60 50 40 30 20 10 commute distanice (miles) 80 40 70 10 20 a) Estimate the slope. Show work. (Full credit if within + / - 0.1 ) [3 pts] b) Interpret the meaning of the slope, in terms of its units. [3 pts] commute time (minutes) 288
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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7. The picture below is a model showing the average time it takes to get to work based on the distance
needed to travel. (Taken from data near Atlanta, GA)
100
70
60
50
40
-30
commute distance (miles)
80
20
30
a) Estimate the slope. Show work. (Full credit if within + / -0.1) [3 pts]
b) Interpret the meaning of the slope, in terms of its units. [3 pts)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F92ab3c20-a3cd-4c1e-8775-52ac5ed4d4cf%2Fd85609f6-dbd3-41e0-b3b0-569ac893b18a%2Fha39yww_processed.jpeg&w=3840&q=75)
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