Answer:
There is a linear correlation between the chest size and weight
Proportion of the variation in weight can be explained by the linear relationship between weight and chest size is 0.006724 .
Step-by-step explanation:
Null Hypothesis: = There is no linear correlation between the chest size and weight
Alternative Hypothesis : =There is a linear correlation between the chest size and weight
The value of the linear correlation coefficient is r=0.882.
n = 8
Formula :
Degree of freedom = n-1 = 8-1 = 7
α =0.05
so, p value is 2.365
t calculated > t critical
So, we reject the null hypothesis
So, There is a linear correlation between the chest size and weight
The proportion of the variation in weight can be explained by the linear relationship between weight and chest size =
Hence proportion of the variation in weight can be explained by the linear relationship between weight and chest size is 0.006724 and There is a linear correlation between the chest size and weight
Answer:
67%
Step-by-step explanation:
Cost plus markup = selling price.
Here, the cost was $30 and the selling price was $50. Subtracting $30 from $50, we get $20, which was the dollar amount of the markup.
We now compare this $20 to the original cost ($30):
$20
------- * 100^ = 67%
$30
The markup, as a percentage, was 67%.
A) =27.2
b) = 30.1
c) =31.2
d) =36.6
answer = D
Answer:
for 48, the prime numbers I have obtained are 2, 3, 2, 2, and 2