Okay so first
you have the constant (4) to the other side of the equation and change the sign.
since you have x=7+mn-4 now you gave to collect like terms (7-4).
leaving the equation x=3+mn
to finish the equation you have to rewrite the equation to parametric form. x=3+mn, m to R (all real numbers), n to R (all real numbers) hope it helped
Answer:
1/2
Step-by-step explanation:
Out of a total 12 donuts, 6 of them are maple. Assuming this ratio stays constant, the experimental probability that the next one sold is a maple donut is 6/12=1/2. Hope this helps!
Answer:
The answer is explained below
Step-by-step explanation:
The reason for making the regression is generally to make predictions. So one should ask in what situations is the resulting estimated regression line y = b0 + b1 * x useful. In other words, since there is a linear relationship between x and y, in what situations would it be valid to say that the knowledge of the value x is not useful to predict a corresponding y.
When the value of B1 (or, equivalently, of p) is zero. However, it is entirely possible that B1 is 0 while b1 (our estimate for) is not zero due to random fluctuations between samples. Therefore, we require an inference procedure.
One of the inference procedures is that the model utility test is used to determine if there is any useful relationship between the dependent variable and the specified values of the independent variables.
So before using an estimated regression model, we run a utility test of the model
Answer: you forgot to add the picture
Step-by-step explanation:
But if you think you are correct, go for it