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QUESTION 41

1. What is theindependent variableusing the table below showing the regression of profit and number ofsales staff?

1. SUMMARY OUTPUT

Regression Statistics

Multiple R 0.99085

R Square 0.98177

Adjusted R Square0.97722

Standard Error 2.96799

Observations 6

Coefficients

Intercept 3.19861

Sales staff 1.03439

1 . Sales staff

2 . Intercept

3 .y

4 .Profit

QUESTION 42

Interpret thecoefficient of correlationusing the table below?

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.9818R

Square 0.9639

Adjusted R Square 0.9552

Standard Error 3.7981

Observations 6

CoefficientsI

ntercept 13.1174

X Variable 10.5688

1. the correlation is strong and positivein direction
2. 98.18% of the change in the y variableis explained by our x variable

3.the correlation is strong and negative

4.96.39% of the change in the y variable is explained by this x variable

QUESTION 43

1. Interpret thecoefficient of determinationusing the table below?

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.2508R

Square 0.0629

Adjusted R Square 0.0552

Standard Error 0.0081

Observations 6C

oefficients

Intercept 3.1986

X Variable 10.1149

1. the correlation is weakand positivein direction
2. 6.29% of the change in the y variable is explained by this x variable

3.3.1986is the correlation of variable x

4the correlation is strong and positive

QUESTION 44

1. What is theequationusing the table below showing the regression number of tweets on twitter and sales?

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.2508

R Square 0.0629

Adjusted R Square 0.0552

Standard Erro r0.0081

Observations 6

Coefficients

Intercept 3.1986

Tweets 0.1149

y=3.1986+0.1149(sales)

y=slope+intercept(dependent variable)

y=3.1986+0.1149(tweets)

y=0.1149+3.1986(intercept)