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:
2.93cm
Step-by-step explanation:
I have to admit, this stumped me but I got o work and here's what I have for you. Hope this helps. TIP: remember it is the minute hand not any other hand.
For this one you will have to find the circumference of the clock because as the min hand goes round and round, it will act as a <u>radius</u> and it will go in a <u>circular</u> motion.
Formula will be π<u>2r</u>= 3.l4 * 2 * 1.4cm=8.792cm per every<u> one</u> revolution of the minute hand. Remembering that for the minute hand to revolve round the clock it has to cover 1 hr = 60min. For you to get the total circumference,
you'll have to take 8.792cm but since it is per every <u>one</u> revolution of the minute hand, multiply it by 40/60min. <u><em>The answer will be 2.93066cm </em></u><u><em>before rounding off</em></u>. After rounding off you will have <u>2.93cm</u>. Quite lengthy but I assure you after practicing you'll have at your fingertips.
How can I help you?
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7
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k
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3
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7
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k
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3
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Solve
75%=75/100=75:100=3/4
4-3=1
1/4=tables not used.
1/4=25/100=25:100
So....25:75 = not used tables : used tables
Hoped I helped!
Answer:
-11
Step-by-step explanation:
To find the y-intercept, simply look at the constant at the end of this equation. Let's look at the linear function equation. The equation is y=mx+b. In this case, the constant is b. The constant always is the non-x term, so for the question, the y-intercept would be -11.
