In: Statistics and Probability
The survey below gives the Firm birth and Firm Death for seven major counties thoughout Ohio randomly selected. Using this data, construct a multiple regression model perdict the various outcomes. This cart uses data from major Ohio counties. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x
County |
Firm birth |
Firm death |
Crime Rate |
||||
ASHLAND |
84 |
84 |
10 |
||||
ASHTABULA |
170 |
167 |
148 |
||||
ATHENS |
97 |
83 |
42 |
||||
CUYAHOGA |
3,151 |
3,242 |
10288 |
||||
DARKE |
100 |
76 |
80 |
||||
ERIE |
154 |
130 |
368 |
||||
FAIRFIELD |
228 |
211 |
0 |
The dependent variable for the model is:
Y= Crime Rate
Independent variable for the model are chosen from thefollowing marketing mixed variable:
X1 = Firm Birth
X2 =Firm Death
Predict Crime Rate using only the numbers from the chart ( Firm Birth, Firm Death )
3) What is the multiple regression model form
4) Also what assumption can be made about the Death Firm and the Crime Rate, doesit have an sinificantlly high average, arethere any outlier. Explain
5)
6) Whart is the least square parameter in the multiple regression line