Compute the correlation coefficient. (Negative value should be indicated by a minus sign. Round sx, sy and r to 3 decimal places.)
x | y | (x−x¯) | (y−y¯) | (x−x¯)2 | (y−y¯)2 | (x−x¯) (y−y¯) | ||||||||||||||||||||
2 | 11 | -4 | 16 | |||||||||||||||||||||||
4 | 18 | 1 | 1 | 3 | ||||||||||||||||||||||
1 | 5 | -10 | 100 | |||||||||||||||||||||||
5 | 23 | 2 | 4 | 16 | ||||||||||||||||||||||
3 | 18 | 3 | 0 | 0 | ||||||||||||||||||||||
x¯ | = | y¯ | = | Sx | = |
Sy | = | r | = |
Compute the correlation coefficient. (Negative value should be indicated by a minus sign. Round sx, sy...
4.he sample correlation coefficient between X and Y, rxy Sx/Sx S where S-the covariance between X and Ys Σ(X-XM) (-Yu)/ n-1 Sx the standard deviation of X and Sy the standard deviation of Y I) If the covariance is positive, the correlation coefficient must be positive: True or False? ii) If the covariance is negative, the correlation coefficient must be positive: True or False? a) ii) The correlation coefficient must lie between 0 and 1. True or False? v)lf the...
Compute the Pearson Correlation Coefficient, r, for the following data X Y 1 7 3 4 5 3 4 2 2 4 Note: If it is a decimal number with two or more than two places, leave only two decimal places after the decimal point and do not round. If it is a negative correlation, please do not forget to include the negative sign. 1a) The Pearson Correlation, r is: 1b) The correlation is Group of answer choices a) Medium...
Determine the value of the coefficient of correlation, r, for the following data. X 4 6 7 11 16 17 21 Y 18 13 13 8 7 7 5 (Round the intermediate values to 3 decimal places. Round your answer to 3 decimal places.) r= ?
Determine the value of the coefficient of correlation, r, for the following data. X 2 6 7 11 16 17 21 Y 18 15 13 8 7 7 6 (Round the intermediate values to 3 decimal places. Round your answer to 3 decimal places.) r =
Given that x = 3.5000, sx = 2.5884, y = 4.1000, sy = 1.9657, and r = -0.9552, determine the least-squares regression line. y = ____ x + (_____) A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist be (b) Given that x = 3.5000, Sy = 2.5884, y = 4.1000, sy = 1.9657, and r = -0.9552, det (c) Graph the least squares regression line on the...
10 points References 28 8 b. Find A5.5 sx 5)·(Round "z" value to 2 decimal places and final answer to 4 decimal places.) P(5.5 sXs7.5) c. Find x such that RX>x) 00594" (Round "z" value and final answer to 3 decimal places.) Print d. Find x such that Px s Xs3.4)-0.1255. (Negative value should be Indicated by a minus sign. Round" 3 decimal places.) value and final answer to < Prev 8 of 12 Next > 28
a. Compute the sample covariance. 112.255 (Round to three decimal places as needed.) b. Compute the coefficient of correlation. r= 1.000 (Round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. A. The variables X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. The variables X and Y have a perfect positive correlation because all points fall on a straight...
Compute the NPV for Project M if the appropriate cost of capital is 9 percent. (Negative amount should be indicated by a minus sign. Do not round intermediate calculations. Round your final answer to 2 decimal places.) Project M Time: 0 1 2 3 4 5 Cash flow –$1,200 $390 $520 $560 $640 $140
Bardi Trucking Co., located in Cleveland, Ohio, makes deliveries in the Great Lakes region, the Southeast, and the Northeast. Jim Bardi, the president, is studying the relationship between the distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at its destination. To investigate, Mr. Bardi selected a random sample of 20 shipments made last month. Shipping distance is the independent variable and shipping time is the dependent variable. The results are...
The production department of Celltronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 11 during a one-hour period. Then 4 employees assembled them. They produced 18 during a one-hour period. The complete set of paired observations follows. Number of Assemblers One-Hour Production (units) 2 11 4 18 1 7 5 29 3 20 The dependent variable...