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Listed below are the weights (in pounds) and the highway fuel consumption amount

ID: 3369471 • Letter: L

Question

Listed below are the weights (in pounds) and the highway fuel consumption amounts (in mi/gal) of randomly selected cars. The researcher suspected that the less a car weighs, the more miles to the gallon it will get. Weight: 3175 3450 3225 3985 2440 2500 2290 Fuel: 27 29 27 24 37 34 37 Considering the researcher's hypothesis, write the null and alternative hypothesis using correlation notation.

Which one is correct?

a. H0: Pxy< 0 H1: Pxy> 0

b. H0: Pxy< 0 H1: Pxy> 0

c. H0: Pxy> 0 H1: Pxy< 0

d. H0: Pxy= 0 H1: Pxy? 0

Make a final conclusion about the null hypothesis within the context of this scenario.

We reject the null hypothesis because .0005< .05

There is sufficient evdience to indicate a correlation between weight and fuel.

There is sufficient evidence to indicate that there is a statistically significant (strong & negative) correlation between weight and miles/gallon

There is sufficient evidence to indicate a statistically significant relatinship.

What are the null and alternative hypotheses if you want to answer the researcher's question using regression notation?

H0: ?y/x> 0

H1: ?y/x< 0

H0: ?y/x> 0

H1: ?y/x< 0

H0: ?y/x< 0

H1: ?y/x> 0

H0: ?y/x= 0

H1: ?y/x? 0

a.

We reject the null hypothesis because .0005< .05

b.

There is sufficient evdience to indicate a correlation between weight and fuel.

c.

There is sufficient evidence to indicate that there is a statistically significant (strong & negative) correlation between weight and miles/gallon

d.

There is sufficient evidence to indicate a statistically significant relatinship.

What are the null and alternative hypotheses if you want to answer the researcher's question using regression notation?

a.

H0: ?y/x> 0

H1: ?y/x< 0

b.

H0: ?y/x> 0

H1: ?y/x< 0

c.

H0: ?y/x< 0

H1: ?y/x> 0

d.

H0: ?y/x= 0

H1: ?y/x? 0

Explanation / Answer

Solution

researcher suspected that the less a car weighs, the more miles to the gallon it will get so negative correlation i.e. less than 0

option c. H0: Pxy> 0 H1: Pxy< 0

option c There is sufficient evidence to indicate that there is a statistically significant (strong & negative) correlation between weight and miles/gallon

option b

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