Demonstrate using regressionfunctions by explaining what a regression function is and the factors which should be considered when interpreting results.
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For example, there are n students in a class, we want to analyze if there is a linear relationship between their weight Y and their height X. Now we can get the data of their weight and height, say (x1,y1),(x2,y2),...,(xn,yn). We can use the regression method to find the regression function, say Y=f(X)=a+bX, where a and b are two coefficients, which reflects the relationship ...
Simple Linear Regression and Multiple Regression.
I'd like to ask whether you think multiple regression (the use of more IV's) is always better than simple regression? Why or why not?
What problems may exist with multiple regression that are not an issue for simple linear regression?
1)Given the regression equation: Y = 1.3479 + 0.3978 X, what is the fitted value (orY ? ) if X = -3?
2) Calculate bo, b1 for the information provide below
X Y
-2 9
0 5
-0.5 7
1 100
From a management policy perspective, which regression result is the most useful?
a regression equation that passes the F-test.
a regression equation whose explanatory variables all passed the t-test.
a regression equation that has the highest R2.
a regression equation that has the least n
Ho: Total home cost increases with additional square feet
Ha: Total home cost does not increase with additional square feet
Define bivariate regression, discuss fitted regression and usingregression for prediction purposes.
Please see attached data and help me to understand what each section means.
