The statistical goal of multiple regression analysis is to build a linear equation model that identifies the optimal weighted linear combination of independent variables in the study in order to optimally predict the reference variable.
Regression analysis is usually performed for one of two purposes. Predicting the value of the dependent variable of a person whose information about the explanatory variable is available, or estimating the effect of the explanatory variable on the dependent variable.
In multiple regression analysis, researchers can determine the strength of the relationship between the outcome (dependent variable) and multiple predictors, and the importance of each predictor in the relationship, often the effect of other predictors. It can be evaluated by statistically eliminating it.
Learn more about multi regression model here: brainly.com/question/17844286
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Answer:
Step-by-step explanation:
-3(5x - 2) - 2x
-15x + 6 - 2x
-17x + 6
Option A is the correct answer
Answer:
4x-5=6 is the equation.
Step-by-step explanation:
What you do is look at the product part. That means multiplying.
Less than means subtraction.
Equals to means equals of course so the equation is
4x-5=6.
Hey there!
4.50x + 5.50x - 7.50x
= 4.5x + 5.5x - 7.5x
= 10x - 7.5x
COMBINE the LIKE TERMS
= (10x - 7.5x)
= 10x - 7.5x
= 2.5x
≈ 2.50x
Therefore, your answer is: 2.50x
Good luck on your assignment & enjoy your day!
~Amphitrite1040:)
Answer:
10.626
Step-by-step explanation:
There's multiple ways to go about it. See how
5.06 * 2.1 = (5 + 0.06)(2 + 0.1) = 5*2 + 0.06*2 + 5*0.1 + 0.06*0.1 =
= 10 + 0.12 + 0.5 + 0.006 = 10.626
Please notice how breaking up the product into smaller parts has let us make all the computations without too much hassle.
