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A study fit a simple linear regression model using y = total catch of lobsters a

ID: 3218705 • Letter: A

Question

  

A study fit a simple linear regression model using y = total catch of lobsters as a function of x = average percentage of traps allocated per day to exploring areas of unknown catch (search frequency). Use the Output from SAS Proc REG to answer the questions below:

Write down the least squares equation.

Do you think that search frequency is a good independent variable in a linear model where total catch of lobsters is the dependent variable?

There is enough evidence to conclude that search frequency is a good independent variable in a linear model.

There is enough evidence to conclude that search frequency is NOT a good independent variable in a linear model.

There is NOT enough evidence to conclude search frequency is a good independent variable in a linear model.

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Intercept

Intercept

1

9877.82997

829.04106

11.91

<.0001

SEARCHFREQ

SEARCHFREQ

1

-163.60242

41.90141

-3.90

0.0018

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Intercept

Intercept

1

9877.82997

829.04106

11.91

<.0001

SEARCHFREQ

SEARCHFREQ

1

-163.60242

41.90141

-3.90

0.0018

Explanation / Answer

From the output, the least square equation will be:

y = 9877.82997 - 163.60242 (SEARCHFREQ)

Because p - vlaue corresponding to search frequency is 0.0018 which is very small.

There is enough evidence to conclude that search frequency is a good independent variable in a linear model.

Option A is correct.