Answer:
Sales are expected to increase positively.
Step-by-step explanation:
The model is y =7-3*X1+5*X2
Here, y is the depended variable and X1 and X2 are independent variable.
Holding the unit price constant X2 (television advertisement) is increase by $1 dollar
SSR= 3500
SSE=1500
So, TSS = SSR+SSE = (3500+1500) = 5000
Now r^2= 1 - (SSR/TSS) = 1 - (3,500/5,000) = 1 - 0.70 = 0.30
So, the sample correlation coefficient (r) = (0.3)^(1/2) = 0.547
We can conclude that sample correlation indicates a strong positive relationship.
Answer:
In this case, the 30% represents the proportion of the sample. It is a statistic that can be used to estimate a parameter of the population.
Step-by-step explanation:
In this case, the 30% represents the proportion of this specific sample (survey taken by the magazine).
It is a statistic that can be used to estimate a parameter of the population. In this case, it may be used to estimate the true proportion of "people in New York who believe that the Yankees will miss the playoffs this year".
If a new sample is taken, a new statistic will be calculated that may or may not be equal to 30%.
Answer:
10 miles
Step-by-step explanation:
Find how much she runs during one track practice by dividing 8 by 4. This gives you the equation 2x, with x being the number of track practices.
Answer:
The equation is y=2x + 2
Step-by-step explanation:
4x+2y=7
2y=-4x+7
y=-2x+7/2
Hence, the gradient =-2
Note that: parallel lines share the same gradient
sub m(gradient)=-2 and the point (1,0) into y=mx+c
0=-2(1)+c
c=2
Therefore, the equation in the form of y=mx+c is y=-2x+2
Answer:
-250
Step-by-step explanation:
I don't know for sure but I hope it's correct.
