HW4
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HW4
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Q1. Linear Regression Model using Weka
class =
-0.1084 * CRIM +
0.0458 * ZN +
2.7187 * CHAS=1 +
-17.376 * NOX +
3.8016 * RM +
-1.4927 * DIS +
0.2996 * RAD +
-0.0118 * TAX +
-0.9465 * PTRATIO +
0.0093 * B +
-0.5226 * LSTAT +
36.3411
In linear regression analysis, a variable's value is predicted based on the value of another variable.
In the linear regression model, 12 of the 13 variables in the data set are significant.
Weight * characteristics make up the first 11 terms, and intercept is the final term.
The intercept of the linear regression equation is 36.3411, which indicates that the Class/MEDV value is 36.3411 when the variable values are zero.
Q2.
num_rings = sex=I * (-0.825) + sex=M * (0.058) + length *(-0.458) + diameter *(11.075) + height * (10.762) + whole_weight * (8.975) + shucked_weight * (-19.787) + viscera_weight * (-10.582) + shell_weight * (8.742) + 3.895
Q3.
num_rings = length * (-11.933) + diameter * (25.766) + height * (20.358) + 2.836