Linear regression line y=2.1x+130 predicts sales based on the money spent on advertising.
Linear regression represents the relationship between two variables. the value of y depends on the value of x.
x represents the dollars spent in advertising and y represents the company sales in dollars.
We need to find out sales y when $150 spends on advertising.
Plug in 150 for x and find out y
y = 2.1 x + 130
y = 2.1 (150) + 130
y= 445
The company expects $445 in sales
The sum is 12x3+18x2-10x+8
x= length, y=width
Both the length and width were increased by 60% so now they are:
1.6x and 1.6y
Then they were both reduced by 25% so now they are 75%(100-25) of their previous size so they are:
0.75(1.6x) and 0.75(1.6y)
Their area would be length * width so it would be:
0.75(1.6x) * 0.75(1.6y)
Simplified this would be:
1.2x * 1.2y
Simplified more it would be :
1.44xy which is also 144% of xy which is a 44% increase of the original area (xy)
So the answer is:
44%
Answer:
There are 7360 M&Ms in larger jar.
Step-by-step explanation:
We are given the following in the question:
A giant jar is such that it is exactly four times times the smaller jar in dimensions.
If r and h is the radius and height of the cylindrical jar respectively, then the dimensions of the larger are:
Number of M&Ms in smaller jar = 115
Volume of smaller jar =
Volume of larger jar =
Number of M&Ms in larger jar:
Thus, there are 7360 M&Ms in larger jar.
$22 AUD * 1 USD / 1.2 AUD
Hope that helps
