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:
B
Step-by-step explanation:
I'm not that smart, but. I have a gut feeling this is right.
Well 40 times 6 is 240 which means that you don't have to round.
Answer:
12x + 18y + 6z + 4x - 4z
Step-by-step explanation:
Given the expression : 3(4x + 6y + 2z) + 4(x – z)
To eliminate the parenthesis ; we use the distributive property :
3(4x + 6y + 2z) + 4(x – z) becomes ;
3*4x + 3*6y + 3*2z + 4*x + 4*-z
12x + 18y + 6z + 4x - 4z
Hence,
12x + 4x + 18y + 6z - 4z
16x + 18y + 2z
63/x=90/100
5670=100x
56.7
