Answer:
d. H0: melanoma mortality rate is not linearly related to latitude
Ha: melanoma mortality rate is linearly related to latitude
Step-by-step explanation:
The linear regression equation is
y=α+βx where α=intercept and β=slope.
β=slope demonstrates the change in dependent variable due to unit change in independent variable.
If the slope is zero then we can say that Y and X are not linearly related.
Thus, the hypothesis for testing significance of linear relationship two variables can be written as
Null hypothesis: The two variables are not linearly related i.e. β=0
Alternative hypothesis : The two variables are linearly related i.e. β≠0.
Thus, in the given scenario the hypothesis are
H0: melanoma mortality rate is not linearly related to latitude
Ha: melanoma mortality rate is linearly related to latitude.
Send a better photo or tell me what I’m suppose to be answering
Answer:
2)
Step-by-step explanation:
Volume of box = length * width * height
= 40 * 10 * 24
= 9600 cubic inches
Answer:
The correct option is A. 14%
Step-by-step explanation:
There is a 70% chance of rain tomorrow
⇒ The probability that it will rain tomorrow = 0.7
There is a 20% chance that the volleyball game will be postponed
⇒ The probability that the volleyball game will be postponed = 0.2
Now, We need to find the probability that it will rain tomorrow and the volleyball game will be postponed
⇒ The probability that it will rain tomorrow and the volleyball game will be postponed = Probability that it will rain × Probability that the volleyball game will be postponed
⇒ The probability that it will rain tomorrow and the volleyball game will be postponed = 0.7 × 0.2
⇒ The probability that it will rain tomorrow and the volleyball game will be postponed = 0.14
⇒ The probability that it will rain tomorrow and the volleyball game will be postponed = 0.14 × 100
⇒ The probability that it will rain tomorrow and the volleyball game will be postponed = 14%
Thus, the correct option is A. 14%
