W= X+ 3Y Find the (c) correlations (d) correlation coefficient of V and W
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- Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Answer parts a-c. Budget (x) Gross (y)60 6091 6050 4839 62193 558105 14087 52 a. Find the value of the linear correlation coefficient r.Q3:Calculate the Pearson correlation coefficient between the student s weight and height Wight of student(x) 75 The tall(y) 175 72 170 69 172 66 165 63 163Which of the following correlation (r) show a negative association between 2 variables? 0.2 -1.4 0.4 -0.8
- Plot the scatter plot defined by the points on the left. Then match it to the correct correlation value. {(1, 3), (1, 8), (5, 9), (8, 3), (8, 8)} {(1, 4), (3, 3), (5, 7), (7, 5), (9, 8)} r = 0.03 r = -1Using the data in the table below, find the Rank (R) and Product Moment (r) Correlation Coefficient. Personality (1) Behaviour (y) 5 8 6 7 7 5 7 5 8 4 9 4 9 5 9 6 8 6 9The following table shows the number of units of a certain item sold by a store over a month in terms of the price in dollars charged by the store. Price in dollars 0.90 1.00 1.15 1.25 1.40 Number sold . 315 280 230 215 195 Use technology to find the correlation coefficient for the data. (Use decimal notation. Give your answer to two decimal places.) correlation coefficien What type of correlation is there between the price and the number sold?
- The following table shows students’ number of absences, x, and the student’s final grade,, y.# of absences x 6 2 15 9 12 5 8 Final grade y 82 86 43 74 58 90 78a) Calculate r, the correlation coefficient ________________b) Find the equation of the regression line __________________________________c) If a student is absent 4 times,, what grade does your regression line predict?__________________QI For the next data ,the correlation factor ( r) is: * X : x: 2 5 8 11 14 And y = 4 xWhat is the value of the correlation coefficent, r? Is the strength of the linear relationship strong, moderately strong, somewhat weak or very weak?
- Please help me with this questionX1 X2 Y X1 1.0000 0.7139 0.6147 X2 0.7139 1.0000 0.3098 Y 0.6147 0.3098 1.0000 This is my correlation matrix table. Using this, which variable explains the greatest proportion of variation in Y? What is the proportion of variation in Y that can be explained by X1? What is the proportion of variation in Y that can be explained by X2? Also what is multicollinearity?