36 + 0 = 36, 35 + 1 = 36, 34 + 2 = 36, 33 + 3 = 36, 36 - 0 = 36, 37 - 0 = 36, 38 - 2 = 36, 39 - 3 = 36, 2 + 34 = 36, 4+ 32 = 36, 6 + 30 = 36
Answer:
53
Step-by-step explanation:
Sol'n
Let the remaining angle of a triangle be x.
x+71+56=180 (Sum of angles of a triangle is 180°)
or, x+127=180
or, x=180-127
.:, x=53°
.:, The measure of third angle is 53°
Answer:
B
Step-by-step explanation:
In A, it says that 9s +7c can be lower or equal to 160. This is wrong.
In C, it says that 9s +7c can only be higher than 160, when the question says at least, which means it can also be equal to 160, making it wrong.
In D, it says that 9s +7c can be lower or equal to 20. This is wrong.
Through elimination, only B can be right.
I’m guessing the answer is 0.54 cause if u multiple 0.9 and 0.6 you will get 0.54
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>
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