: Quantitative 1) Referring to the SPSS test , what do you know about the ' descriptive analysis ' and ' inferential analysis 2) Di
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- What is correlation and regression? What information does it provide? Why is it important? What does this regression analaysis tell us? What is the significance of the coeffecients?Mr. Saif has conducted a research study to know the attitude of graduate students towards entrepreneurship business. In this regard, he has collected the data from the Sultan Qaboos University, Muscat and University of Technology and Applied Sciences, Muscat using a structured questionnaire. The feedback of 400 students has been collected from these universities. For the data analysis, the researcher has used exploratory factor analysis and regression to evaluate the factors influencing the attitude of students towards entrepreneurship business. Question: Evaluate the methodology approach used for this study by discussing its features.The researcher wishes to use numerical descriptive measures to summarize the data on each of the two variables: hours worked per week and yearly income.a) Prepare and display a numerical summary report for each of the two variables including summary measures such as mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles.Notes: Use QUARTILE.EXC command to generate the three quartiles. b) Compute the correlation coefficient using the relevant Excel function to measure the direction and strength of the linear relationship between the two variables. Display and interpret the correlation value. Hours Per Week Yearly Income ('000's) 18 43.8 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5…
- What does it mean to say that the linear correlation coefficient between two variables equal 1? Explain the difference between correlation and causation using a real-world, unique examplethe researcher wishes to use numerical descriptive measures to summarize the data on each ofthe two variables: hours worked per week and yearly income.a) Prepare and display a numerical summary report for each of the two variables including summary measures such as mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles.Notes: Use QUARTILE.EXC command to generate the three quartiles. b) Compute the correlation coefficient using the relevant Excel function to measure the direction and strength of the linear relationship between the two variables. Display and interpret the correlation value.What is the coefficient of determination and how is it interpreted in correlation and regression analysis?
- What value does the Correlation Coefficient provide for data analysis, and, can we assume that correlation = causation? Explain.True or False: Explain Suppose that OLS is unbiased for the following bivariate model: Y = B0 +B1X +u and suppose that the true slope coefficient B1 = 7. If you use the standard t-statistic to test the null hypothesis that the slope coefficient is equal to 0, the probability that you will reject the null hypothesis will increase if you reduce your sample size.Discuss the strengths and weaknesses of correlation coefficient
- How do you evaluate the coefficients for the independent variables against the size and statistical significance of the coefficient for the location variable to reject or fail to reject the hypothesis?.Describe about the correlation coefficient for quantitative data.Write a clear conclusion regarding the association between height in inches and weight in pounds, using the multivariate model results
