Questions: The scatterplot displays the relationship between the cost of two different Netflix subscription plans for 65 countries of best fit ŷ = -0.94 + 1.38x and a correlation coefficient r = 0.9788.
- cost of a premium subscription
- cost of a standard subscription
(a) In San Marino the cost of a standard subscription is 14.67 and the cost of a premium subscription is 20.32. Calculate t residual for this country.
The residual is . Round to the nearest cent.
(b) The standard error of the residuals is se = 0.83. What is the best interpretation of this value?
Transcript text: The scatterplot displays the relationship between the cost of two different Netflix subscription plans for 65 countries of best fit $\hat{y}=-0.94+1.38 x$ and a correlation coefficient $r=0.9788$.
cost of a premium subscription
cost of a standard subscription
(a) In San Marino the cost of a standard subscription is $\$ 14.67$ and the cost of a premium subscription is $\$ 20.32$. Calculate $t$ residual for this country.
The residual is $\$$ $\square$ Round to the nearest cent.
(b) The standard error of the residuals is $s_{e}=0.83$. What is the best interpretation of this value?
Solution
Solution Steps
Step 1: Calculate the predicted value
The cost of a standard subscription is given as $x = \$14.67$. Using the equation of the line of best fit, we can predict the cost of a premium subscription:
The residual is the difference between the actual value and the predicted value. The actual cost of a premium subscription in San Marino is $y = \$20.32$.
Rounding the residual to the nearest cent gives $1.01.
Step 4: Interpret the residual
Since the residual is positive, the actual cost of the premium subscription in San Marino is $1.01 higher than predicted by the model.
Step 5: Interpret the standard error of the residuals
The standard error of the residuals, \(s_e = 0.83\), means that the typical difference between the actual premium subscription costs and the costs predicted by the model is about $0.83.
Final Answer
(a) The residual is \\(\boxed{\$1.01}\\). This is an overestimate.
(b) The typical difference between the actual premium subscription costs and the costs predicted by the model is about $0.83.