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Created: May 21, 2019
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Inferential statistic movie group Johnny B, Nelly B, Maggie B, Xochitl B

1. We made a scatter plot to see if there was a correlation between age and the amount of money spent when going out to the movie theaters. By looking at the scatter plot you can see that there appears to be no correlation between the two variables. When calculating to see if there is a significant linear correlation using the given correlation coefficient and the significance level of 0.05, it supports our claim that there is no linear correlation.

2. Linear Regression
r =(+/-) 0.730        n= 93
Critical Values: |r|<0.730
ŷ = 17.21 + 0.057x
Conclusion: No linear correlation

3. Hypothesis test: We wanted to compare the average amount of money spent when going out to the movie theaters compared to money spent on streaming plat forms. We did two independant simple random samples, one of 10 people who went out to the movie theaters, and one of 14 people who used streaming platforms.

We used a 0.05 significance level to test the claim that the mean amount of money spent on streaming platforms was greater than the mean amount of money spent when going out to the move theaters.

Money Spent going Out to Theater       Money spent Streaming

X1= \$21.80                                        X2= \$23.40

S1= 14.8                                            S2= 17.3

n1= 10                                                n2= 14

2-SampleTTest
H0:μ1 = μ2
H1:μ1 < μ2
t-test=-0.243
P-value:0.4051

Conclusion: Fail to reject
The sample data support the claim that the mean amount of money spent on streaming platforms was greater than the mean amount of money spent when going out to the movie theaters.

Result 1: Scatter Plot   [Info]

Result 2: Simple Linear Regression   [Info]

Result 3: Simple Linear Regression 1   [Info]

### Simple linear regression results:

Dependent Variable: Money spent at theaters
Independent Variable: Age
Money spent at theaters = 17.210644 + 0.057199899 Age
Sample size: 93
R (correlation coefficient) = 0.03622037
R-sq = 0.0013119152
Estimate of error standard deviation: 17.930498

### Parameter estimates:

ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept17.2106445.120525 ≠ 0913.36110920.0011
Slope0.0571998990.16543851 ≠ 0910.345747180.7303

### Analysis of variance table for regression model:

SourceDFSSMSF-statP-value
Model138.43279738.4327970.119541110.7303
Error9129256.75321.50275
Total9229295.183