Solve for the coefficient of correlation
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- What is regression analysis? Describe the process of performing regression analysis on a graphing utility.The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?An economist at Nedbank ran a study of the relationship between FTSE/JSE All Shares index return (JALSH) and consumer price index (CPI) from 2006 to 2017, the data collected is shown in the Table 1 below. FTSE/JSE All Shares index return (JALSH) and consumer price index (CPI) from 2006 to 2017. Year JALSH (Y) CPI (X) 2006 0.41 4.7 2007 0.19 7.1 2008 -0.23 11.5 2009 0.32 7.1 2010 0.19 4.3 2011 0.03 5.0 2012 0.27 5.6 2013 0.21 5.7 2014 0.11 6.1 2015 0.05 4.6 2016 0.00 6.4 2017 0.21 5.3 The estimated regression…
- **Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) How much of the variation in income is explained by the regressors? d) What is the standard error of the error term in the regression equation?**Based on the regression results, answer the following questions** Data are collected on the income (measured in $1000’s of $’s), house value (measured in $1000’s of $’s), years in a home, age, sex (=1 for male, =0 for female), and the amount outstanding on a mortgage (measured in $1000’s of $’s). The dependent variable is income. Based on the regression results, answer the following questions e) Are any of the explanatory (independent) variables significant at the 10% level of significance? How do you know? f) What is the predicted value of income for a person that has been in a house for 5 years, is 38 years old, is a male, has a house valued at $250,000, and has $100,000 left on their mortgage? (g) What is the effect on the income of a person being a male versus a female?How to Interpret this regression and interpret r^squared
- Cost Behavior and Correlation Analysis PC's total maintenance cost for the past 10 months is Php50,000.00. Some of the maintenance activity appears related to the operation of machinery, and the accountant wants to determine whether machine hours should be used as a basis upon which to estimate maintenance cost at various levels of capacity. Machine hours for the same period totalled 40,000 hours. The machine hour differences from average multiplied by the maintenance cost differences from its average and summed E(x¡ – x)(yi – ỹ) is 2,400. The machine hour differences from average squared and summed E(x¡ –x)² is 6,250, and the maintenance cost differences from average squared and summed E(yi – y)² is 1,000. Required: 1. Compute the coefficient of correlation, r, and the coefficient of determination,r2, for maintenance cost and machine hours. 2. Compute the variable maintenance cost per machine hour, using the method of least squares. 3. Compute the fixed maintenance cost, using the…2. In the regression equation, the value that gives the amount by which Y changes for one unit in X is called the (a) coefficient of correlation. (b) coefficient of determination. (c) slope. (d) intercept.Kind karl person’s coefficoent of correlation using regression coefficient bxy = -0.37 , bxy =-.50
- Two variables have a positive linear correlation. Is the slope of the regression line for the variables positive or negative?In the linear regression equation, Y = b(X) = a, What is the value of b called? the correlation between X and Y the y-intercept the slope the x interceptMicroprocessing, a computer firm specializing in software engineering, has compiled thefollowing revenue records for the years 1989 to 1995Year198919901991Revenue (× $100,000)1.11.51.919922.1199319942.42.9The second-degree equation that best describes the secular trend for these data is19953.5{=2.119 + 0.375x + 0.020x?, where 1992 = 0, and x units = 1 year(a) Calculate the percent of trend for these data.(b) Calculate the relative cyclical residual for these data.(c) Plot the percent of trend from part (a).(d) In which year does the largest fluctuation from trend occur, and is it the same for blmethods?
