Answer:
can u send me example of relatable solved question so I can try to help u
Step-by-step explanation:
sorry
The objective function is simply a function that is meant to be maximized. Because this function is multivariable, we know that with the applied constraints, the value that maximizes this function must be on the boundary of the domain described by these constraints. If you view the attached image, the grey section highlighted section is the area on the domain of the function which meets all defined constraints. (It is all of the inequalities plotted over one another). Your job would thus be to determine which value on the boundary maximizes the value of the objective function. In this case, since any contribution from y reduces the value of the objective function, you will want to make this value as low as possible, and make x as high as possible. Within the boundaries of the constraints, this thus maximizes the function at x = 5, y = 0.
∠QPS is part of the right angle, and it takes 90 - 21 degrees of it.
90 - 21 = 69°
Now take 69 and add 22, the rest of ∠QPS.
69 + 22 = 91
∠QPS is 91°, which is larger than a right angle, 90°, so that means it is an obtuse angle.
20,000÷50=

The plane needs to descend at 400 ft per mile.
At 40 degrees?
Answer:
The strongest relation between the two factors is B.) -0.8
Step-by-step explanation:
The correlation coefficient typically varies from -1 to 1.
The value of -1 for the correlation coefficient denotes that the two variables are have a very strong negative correlation.
The value of +1 for the correlation coefficient denotes that the two variables are have a very strong negative correlation.
Therefore among the four options given of -0.15, -0.8, 0.38, 0.03 the strongest relation between two factors is given by -0.8 but as the '-' sign indicates the two factors are negatively correlated.
Negative correlation means that if one variable is high the other would be low.
Positive correlation means that if one variable is high then the other variable is also high and if one variable is low then the other is also low.