A researcher wants to know if there is a relationship between the number of shopping centers in a state and the retail sales (in
1 answer:
Answer:
Kindly check explanation
Step-by-step explanation:
Given the data:
Num shopping centers (X) :
630
370
616
700
430
558
1200
2976
Sales (Y) :
15.5
7.5
13.9
18.7
8.2
13.2
23.0
87.3
The regression equation obtained using the online regression calculator is :
y = 0.03025X - 4.87014
2.) The slope value, for every unit change in number of shopping centers, the number of sales increases by 0.03025
3.)
The Coefficient of determination (R²) as obtained by the R² value calculator is : 0.9823
4.)
About 98% of variation in number of sales is explained by the regression line
5.)
Correlation Coefficient = 0.9911
H0 : p ≥ 0.99
H1 : p < 0.99
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Answer:
C
Step-by-step explanation:
So, we started out with 2,400 black rhinos.
And we know that they are declining at a rate of 10% per year.
In other words, each subsequent year will only have <em>90%</em> of the previous year's rhinos.
Therefore, our function is:
We can do some elimination first.
First, the starting point or y-intercept <em>must </em>be 2400 since that's the number of rhinos we started out with.
Therefore, we can eliminate A and D.
From the remaining choices B or C, we can technically also eliminate B. This is because from our function, we know it's exponential decay, and exponential decay is <em>not</em> a straight line.
However, to double check, let's check the population after 10 years using our function. So:
Use a calculator:
So, after 10 years, the population should be around 840.
B is definitely <em>not</em> 840 (at x=10). However, C is right around it.
Therefore, we can conclude that C is the right answer.
And we're done!