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Evaluation of the Results Received From Performing Regression Analysis

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Abstract

Regression analysis consists of the ability to acknowledge the association between a dependent variable and the additional independent variable (University of Oregon, 2016). The independent variable is the variable that will be in regression, willing to the controlled or manipulated. The correlation within the two variable can be positive or negative. The sign of correlation coefficient demonstrates the direction throughout the association. Meaning, the closer the series of numbers are closer to 1, then this will lead to a positive, strong association.

The outcome I observed from all the graphs were different for the both, even before the correlation. Within the first and third regression graphs, Tomatometer vs Audience Rating (being the first) and Audience vs Gross (being the fourth), the trend lines has an incline throughout the graph. The correlations are closer to one compared to the two additional graphs. I believe these graphs has a strong and stable regression.

However, the outcomes I observed with the other two graphs, Budget vs Tomatometer and Budget vs Gross, has a weak and unstable regression. The trend line for the graph of Budget vs Tomatomer is decline by -0.378 causing this to become closer to negative one. While, the trend line for the graph Budget vs Gross is not declining but is considered weaker than the other graphs since the number is 0.399, making it closer to positive one, but just unstable.

Regression Results

When using regression for the data provided by the critics and audience rating, it does appear they have agreed upon the movie rating between the both. Due to the incline of the trend line and the correlation being closer to one, they have a strong connection. Although, they seem in comparison, the data could be described as coincidence.

When observing the trendline for the graph, Budget vs Gross, I would say that there is incline with the points being further away than expected causing the correlation to be known as weak and unstable. There is no factual information leading to whether or not larger budgets lead to higher-grossing movies, the information could also be described as a coincidence.

Throughout the trend line of the graph, it is in the declining era. The correlation for the graph, Budget vs Tomatometer, is closer to negative one. Meaning, this is defining the graph of having a weak, unstable regression period. There are no relations upon the budget and the views of the critics.

The graph describing Audience vs Gross has a trendline that is accelerating. However, when looking at the points of the scatter plot, the regression of the graph does make it look associative. The correlation of the graph is in the positive portion making it closer to one than closer to negative one. These graphs have no relations, and could be considered a coincidence.

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GradesFixer. (2019, March, 12) Evaluation of the Results Received From Performing Regression Analysis. Retrived June 2, 2020, from https://gradesfixer.com/free-essay-examples/evaluation-of-the-results-received-from-performing-regression-analysis/
"Evaluation of the Results Received From Performing Regression Analysis." GradesFixer, 12 Mar. 2019, https://gradesfixer.com/free-essay-examples/evaluation-of-the-results-received-from-performing-regression-analysis/. Accessed 2 June 2020.
GradesFixer. 2019. Evaluation of the Results Received From Performing Regression Analysis., viewed 2 June 2020, <https://gradesfixer.com/free-essay-examples/evaluation-of-the-results-received-from-performing-regression-analysis/>
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