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Pages:
1 page/≈275 words
Sources:
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Level:
APA
Subject:
Accounting, Finance, SPSS
Type:
Statistics Project
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
\$ 4.68
Topic:

Regression (Statistics Project Sample)

Instructions:
the paper was a regression analysis of a data set. The data set revolved around the real estate sector where the variables square feet and sales price were used. THE data set also included the variable region, which was the location of the land being sold. many factors can alter the sales price of a piece of land. the aim was therefore to find out whether the size of the land had any effect on the price of the land. computing the regression analysis would help to find out whether there existed any relationship between the two. The question was to compute a regression analysis of the two variables and interpret the results. source..
Content:
Regression Analysis Course: Institution Affiliation: Date: Regression analysis Descriptive Statistics Analysis of correlation A correlation value of 0.824 indicates there exists a strong positive relationship between the two variables; square feet and sales price of the land. An R square value of 0.679 means the model sufficiently explains the data. 67.9% of the sales price of the land can be explained by the square feet. Interpretation Null hypothesis: The coefficient is equal to zero. Alternative hypothesis: The coefficient is not equal to zero The positive value of the coefficients indicates that as the number of square fee...
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