Wednesday, April 24, 2019

Regression Analysis & T-Test Assignment Example | Topics and Well Written Essays - 1500 words

Regression synopsis & T-Test - Assignment ExampleBased on a thorough compendium of the data provided do you moot that there is evidence to support the companys current patterns of spending? That is, do you think each radio or newspaper adverts have a sufficient impact on income to justify the outlay? What recommendations would you give regarding future spending? Once again, support these recommendations with allot statistical outputs such as correlation coefficients, fitted line plots and regression output and perform appropriate hypothesis tests. Explain and discuss the output and analysis and give appropriate advice.The correlations matrix shows that there is a strong arbitrary relationship between kale and radio expenditures (that is, the higher the radio expenditures the higher the profits made) with a coefficient of 0.802, this shows indeed a strong positive relationship that exists between the two variables (profits and radio expenditure). The relationship between prof its and newspapers expenditure is however banish that is the higher the newspaper expenditures the lower the profits.From the regression table above, we observe the value of R-squared to be 64.4% this implies that 64.4% of variation in the profits (dependent variable) is entirely explained by the two independent variables (radio and newspaper advertisements). The p-value of the overall model is 0.000 (a value little than =0.05), leading us to reject the null hypothesis thus concluding that the overall model is appropriate and fit and that the two independent variables.

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