Answer:
The correct option is C) r=-0.80
Step-by-step explanation:
Consider the provided information.
Properties of r in a scatter plot:
The value of r is between -1 and +1.
If the value of r is positive then it associated with positive relationship if the value of r is negative it associated with negative value.
The greater value of r would be closely around a straight line(Regardless of sign).
Now consider the provided relation.
The use of regression line is to minimize the distance between projections and real values.
Correlation is inversely proportional to difference between predicted values and actual values.
So for good fit we just need to look for the highest value of r regardless of the sign.
From the provided options the highest value of r=-0.80
Thus, the correct option is C) r=-0.80
<span>F(x) = x + 3
y = x + 3
y - 3 = x
so
</span><span>F ^-1(x) = x - 3
</span><span>The zero of F ^-1(x) is -3
answer is
</span><span>-3</span>
Let x be equal to Jim's travel time
Let x + 2 be equal to Joan's travel time
distance = speed*travel time
6(x + 2) + 8x = 33
6x + 12 + 8x = 33
14x = 21
x = 21/14 = 3.5
3.5 hrs is the hours that Jim have been running until he met Joan.
Complete question :
According to the National Beer Wholesalers Association, U.S. consumers 21 years and older consumed 26.9 gallons of beer and cider per person during 2017. A distributor in Milwaukee believes that beer and cider consumption are higher in that city. A sample of consumers 21 years and older in Milwaukee will be taken, and the sample mean 2017 beer and cider consumption will be used to test the following null and alternative hypotheses:
H, :μ< 26.9
Ha : μ> 26.9
a. Assume the sample data led to rejection of the null hypothesis. What would be your conclusion about consumption of beer and cider in Milwaukee?
b. What is the Type I error in this situation? What are the consequences of making this error?
c. What is the Type II error in this situation? What are the consequences of making this error?
Answer:
Kindly check explanation
Step-by-step explanation:
Given the null and alternative hypothesis :
H0 :μ< 26.9
Ha : μ> 26.9
Assume the Null hypothesis is rejected ;
We conclude that there is significant evidence that the mean consumption of beer and cider is higher in the city (more than 26.9 gallons).
B.) Type 1 error is committed when the Null hypothesis is incorrectly rejected.
C.) Type 2 error is committed when we fail to reject a false null hypothesis. In this scenario, we fail to conclude that the average consumption of beer and cider is more than 26.9 gallons per person.
40,000,000
Standard form means that you are just writing out the numbers regularly. In this case, we are switching from scientific notation to standard. The 10 is raised to the 7th power, so we have to move the decimal 7 places to the right.
