Movie Grosses. Box Office Mojo collects and posts data on movie grosses. For a random sample of 50 movies, we obtained both the domestic (U.S.) and overseas grosses, in millions of dollars. The data are presented on the Weiss Stats site.

a. Obtain a scatterplot for the data.

b. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (c)-(f).

The number sample of movies are $n=50$

Make a scatter plot with the data obtained from the box office mojo.

Based on the question, let's look at an international and domestic movie collection of 50 movies each.

MATLAB will then create a scatterplot with data collection on the $x-$axis and overseas data collection on the $y-$axis.

Program:

clc

clear

close all

$n=50;$

domestic $=$randi $(500,n,1);$

overseas $=$randi $(700,n,1);$

scatter $(domestic,overseas,\text{'}linewidth\text{'},1.2)$

set$(gca,\text{'}linewidth\text{'},1.2,\text{'}fontsize\text{'},12)$

box on

xlabel localid="1650705333008" $(\text{'}domesticcollection(million\$)\text{'})$

ylabel localid="1650705373184" $(\text{'}overseascollection(million\$)\text{'})$

title localid="1650705380228" $(\text{'}N=50\text{'})$

axis square

The scatterplot representation is,

Query:

As a first step, we have defined the sample size of 50 movies at home and abroad.

After that, create a scatter plot.

$X$represents the domestic collection axis.

$Y$represents the overseas collection.

Draw a regression line and show whether or not it is realistic.

If the data does not have a strong curvature, the regression line is plausible.

Let's take a 50 movie collection from both domestic and international sources, as suggested in the question.

Then create a scatter plot in MATLAB.

Domestic data gathering is on the x-axis, whereas abroad data collection is on the y-axis.

If the data collection has a higher curvature, the regression line will be useless.

Program:

Clc

clear

close all

$n=50;$

domestic$=randi(500,n,1)$

overseas $=randi(700,n,1)$

localid="1650706440832" $[\mathrm{p},\mathrm{s}]=\text{polyfit (domestic, overseas,}1)\text{;}$

localid="1650706448842" $\left[\mathrm{y}\text{\_fit, delta] = polyval}\right(\mathrm{p},\text{domestic,}\mathrm{s})\text{;}$

scatterlocalid="1650706455504" $(domestic,overseas,\text{'}linewidth\text{'},1.2)$

hold on

plotlocalid="1650706462435" $(domestic,y\_fit,\text{'}r-\text{'},\text{'}linewidth\text{'},1.2)$

setlocalid="1650706467723" $(gca,\text{'}linewidth\text{'},1.2,\text{'}fontsize\text{'},12)$

box on

xlabellocalid="1650706475575" $(\text{'}Domesticcollection(million\$)\text{'})$

ylabellocalid="1650706483530" $(\text{'}Overseascollection(million\$)\text{'})$

title localid="1650706490380" $(\text{'}N=50\text{'})$

axis square

The data has a high curvature, as shown in the figure, so the regression line isn't plausible.

Query:

• First, we established the data collection of 50 example movies from both domestic and international locations.
• After that, make a scatter plot.
• After that, draw a regression line.
• Domestic collection is shown on the x-axis.
• Overseas collection identifier on the Y-axis.