Answer:
6
Step-by-step explanation:
6 ^ (1/4) ^ 4
We know a^ b^ c = a^(b*c)
6 ^ (1/4*4)
6^1
6
Answer:
d. Both I and II are false
Step-by-step explanation:
When there is a high degree of linear correlation between the predictors the errors are found.
The basic objective of the regression model is to separate the dependent and independent variables. So if the variables have high degree of linear correlation then the multi collinearity causes problems or has errors. It is not necessary that multi collinearity must be present with high degree of linear correlation.
For example we have 3 variable of heat length and time. And all of them have a high degree of correlation. With increase in heat and time the length increases . But for multi collinearity with the increase of time and decrease of heat length does not increase. So this causes errors.
y-hat = 135 + 6x + errors
The linear relationship between height and weight is inexact. The deterministic relation in such cases is then modified to allow the inexact relationship between variables and a non deterministic or probabilistic model is obtained which has error which are unknown random errors.
y- hat= a + bXi + ei (i=1,2,3...)
ei are the unknown random errors.
<u><em>So both statements are false.</em></u>
<em><u /></em>
<span>I think these are the right answers.
</span>
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For the first one:
The volume of the triangular prism is: 1030.25cm
The surface area of the triangular prism is:</span><span> 696.95cm
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For the second one:
</span>
T<span><span>he volume of the triangular prism is: 42cm
</span>The surface area of the triangular prism is: 96cm</span>
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As for explaining how to find the volume of triangular prisms, use your G00GLE search engine and type "find the volume of triangular prism".
Enter in the data/numbers and it will calculate the answer along with step by step instructions on how it got the answer.
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Have a good day!!!
Answer:
0.42
Step-by-step explanation:
15%=0.15
0.15 x 2.8 = 0.42
