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Answer:
Regression models are predictive tools. If you want to use them to predict the behavior of an individual, you must set "behavior" as your dependent variable, and you must have indicators and measures for such. You must also identify your explanatory or independent variable likewise you must have indicators and measures for such.
If you have built your model on the basis of collected data, you will be able to predict the value of behavior given a value of the explanatory variable.
Step-by-step explanation:
3.5 I just took it in class
Answer:
The minimum value is 24
Step-by-step explanation:
we know that
The "feasible region" has vertices
The objective function is
To determine the minimum value of the objective function, substitute the value of x and the value of y of each vertex in the objective function and then compare the values
1) For (4,5)
x=4,y=5
2) For (4,6)
x=4,y=6
3) For (7,4)
x=7,y=4
4) For (3,6)
x=3,y=6
therefore
The minimum value is 24
Answer:
4^(1/3) x^(2/3) y^(1/3)
Step-by-step explanation:
why would you expect negative exponents? Just pultiply powers
Answer:
4th option
Step-by-step explanation:
The slope m = 4
b = 32-(4×4) = 16
y = mx+b
or, y = 4x+16
Answered by GAUTHMATH