Statistical Inference3.1 MethodsThe components of our multiple linear regression model are the following:Numerical outcome variable y = Review RatingNumerical explanatory variable x1 = Movie BudgetCategorical explanatory variable x2 = Movie Rating3.2 Model Results Table 2. Regression table of linear model of horror movies: (SEE IMAGE ATTACHED)Interpret the regression table A lippie.terminterceptbudgetmovie_rating: NOT RATEDmovie_rating: PGmovie_rating: PG-13movie_rating: Rmovie_rating: TV-14movie_rating: TV-MAmovie_rating: UNRATED9 rows | 1-4 of 7 columnsestimate8.1000.000-3.544-2.342• -3.124-3.091-3.735-3.709-3.320std_error1.3110.0001.3141.5321.3261.3151.3751.3331.334statistic6.1784.394-2.697-1.528-2.356-2.350-2.716-2.783-2.488F

Statistical Inference 3.1 Methods The components of our multiple linear regression model are the following: Numerical outcome variable y = Review Rating Numerical explanatory variable x1 = Movie Budget Categorical explanatory variable x2 = Movie Rating 3.2 Model Results Table 2. Regression table of linear model of horror movies: (SEE IMAGE ATTACHED) Interpret the regression table

Statistical Inference 3.1 Methods The components of our multiple linear regression model are the following: Numerical outcome variable y = Review Rating Numerical explanatory variable x1 = Movie Budget Categorical explanatory variable x2 = Movie Rating 3.2 Model Results Table 2. Regression table of linear model of horror movies: (SEE IMAGE ATTACHED) Interpret the regression table

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Statistical Inference

3.1 Methods

The components of our multiple linear regression model are the following:

Numerical outcome variable y = Review Rating
Numerical explanatory variable x1 = Movie Budget
Categorical explanatory variable x2 = Movie Rating

3.2 Model Results

Table 2. Regression table of linear model of horror movies: (SEE IMAGE ATTACHED)

Interpret the regression table

A lippie.
term
<chr>
intercept
budget
movie_rating: NOT RATED
movie_rating: PG
movie_rating: PG-13
movie_rating: R
movie_rating: TV-14
movie_rating: TV-MA
movie_rating: UNRATED
9 rows | 1-4 of 7 columns
estimate
<dbl>
8.100
0.000
-3.544
-2.342
• -3.124
-3.091
-3.735
-3.709
-3.320
std_error
<dbl>
1.311
0.000
1.314
1.532
1.326
1.315
1.375
1.333
1.334
statistic
<dbl>
6.178
4.394
-2.697
-1.528
-2.356
-2.350
-2.716
-2.783
-2.488
F

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