A.
Find the dimensions of the original painting.
Since the scale is 1 in : 40 cm
2 in ( 40 cm / 1 in) = 80 cm
1.5 in ( 40 cm / 1 in) = 60 cm
80 cm by 60 cm
B.
Find the area of the original painting.
<span>A = 80
cm x 60 cm = 4800 sq cm</span>
C.
Since 1 inch is 2.54 cm, find the dimensions of the original painting in
inches.
80 cm ( 1 in / 2.54 cm) = 31.5 in
60 cm ( 1 in / 2.54 cm) = 23.6 in
D,
Find the area of the original painting in square inches.
A = 31.5 in x 23.6 in = 743.4 sq in
<span> </span>
Answer:
3)
i) 
ii) 
4)
i) 
ii) 
Step-by-step explanation:
We perform a simple linear regression analysis in megastat software to determine the line of best fit for both relations and their associated correlation coefficients.
Answer:
yes because if you put a vertical line on it it only goes threw it once it is also called the <u>vertical line test</u>.
Answer:
x=4, y=2
Step-by-step explanation:
2x - y = 6
x + y = 6
Add these together to eliminate y
2x - y = 6
x + y = 6
-----------------
3x = 12
Divide by 3
3x/3 = 12/3
x=4
But we still need y
x+y =6
4+y =6
Subtract 4 from each side
4+y-4 = 6-4
y=2
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.
