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 (SEE ATTACHED REGRESSION TABLE TO ANSWER 3.4

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 6PPS
icon
Related questions
Question

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

(SEE ATTACHED REGRESSION TABLE TO ANSWER 3.4)

3.4 Inference for multiple regression

Using the output of our regression table we’ll test the null hypothesis for our numerical explanatory variable. 

A trople. 3x7
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
1
F
Transcribed Image Text:A trople. 3x7 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 1 F
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer