Answer:
Correlation requires both variables to be quantitative.
Step-by-step explanation:
The correlation coefficient measures the strength of relationship between two quantitative variables. In the given scenario correlation between sex of American workers and their income is computed and indicated that there is a high correlation between them. The sex of American worker is a categorical variable or a qualitative variable while income of American worker is a quantitative variable. The correlation between a quantitative variable and a qualitative variable can't be computed. So, the statement explains the blunder in the given scenario is "Correlation requires both variables to be quantitative".
Answer:
See below.
Step-by-step explanation:
Let's look at the cost for members (C1) first. Let x be the number of visits.
C1(x) = 12 + 8x
For non-members (C2), we can do the same.
C2(x) = 10x
You can graph these two equations.
x C1 C2
0 12 0
1 20 10
2 28 20
3 36 30
4 44 40
5 52 50
6 60 60
7 68 70
Let's make the two equations equal, to find out where the benefit is the same.
12 + 8x = 10x
2x = 12
x = 6
Up to 5 visits, the non-member cost is better. At 6 visits, there's the same price. For more than 6 visits, the member cost is better.
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Answer:
#6 is 1001
#8 is x=1312
Step-by-step explanation:
6. 11*13*7= 1001
8. 32*41=x
x= 1312
