Explain the elements of a regression equation for a simple linear regression: Y=b+mx. Why are regression analysis useful? Give an example.
Solution :
Y = b + mx
Where ,
b = y-intercept
m = slope
x = x - coordinate
Uses of regression analysis :
Example : Prediction and forecasting
Casual relationship between independent and dependent variable .
Helps to understand which among the independent variable are related to the dependent variable
Explain the elements of a regression equation for a simple linear regression: Y=b+mx. Why are regression...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
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why is the lens equation written in the form y=mx+b as 1/di=-1/do +1/f? PLEASE EXPLAIN WHY!
Say the simple linear regression model produces the equation y = 17.23+4.5x . What is the interpretation of the slope?
Use linear regression to find the equation for the linear
function that best fits this data. Round both numbers to two
decimal places. Write your final answer in a form of an
equation....
...y = mx+b
125 | 136 172 | 194
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What is the difference between simple linear and multiple regressions? Give an example of a situation where linear regression might be useful Give an example of a situation where multiple regression might be useful.
A simple linear regression of Y on X reveals that the slope b is 3; the standard deviation of X is 2; and the standard deviation of Y is 8. What is the correlation coefficient between X and Y? Show steps.