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- 1. calculate skewness from the dataA zero correlation between X and Y is least likely to ocurr if A. The plot of points for X and Y form a parabola B. The plot of points for X and Y form a cloud pattern C. The plot of points for X and Y almost fit on a straight line with 45 degree incline D. The plot of points for X and Y almost fit on a straight line with a 90 degree inclineCont. * Mast. * Prop. Pie APRI. Chec. | Chec.. b Verif.. g 05-. 04 - MA.. A Mast.. M Math. Mind. The value y (in 1982-1984 dollars) of each dollar paid by consumers in each of the years from 1994 through 2008 in a country is represented by the ordered pairs. (1994, 0.676) (1996, 0.638) (1998, 0.608) (2000, 0.584) (2002, 0.556) (2004, 0.528) (2006, 0.494) (2008, 0.461) (1995, 0.658) (1997, 0.622) (1999, 0.599) (2001, 0.568) (2003, 0.543) (2005, 0.509) (2007, 0.486) (a) Use a spreadsheet software program to generate a scatter plot of the data. Let t = 4 represent 1994. Do the data appear linear? O Yes O No (b) Use the regression feature of the spreadsheet software program to find a linear model for the data. (Let t represent time. Round your numerical values to four decimal places.) y = (c) Use the model to predict the value (in 1982-1984 dollars) of 1 dollar paid by consumers in 2010 and in 2013. (Round your answers to two decimal places.) 2010 $4 2013 $4 Discuss the reliability of your…
- This triangle is not drawn to scale corresponding to the data in the exercises. ac) Find the equation of the least - square line. d) Use the equation from part c to predict the maximum exercise heart rate for a person who is 72. e) Is the procedure in part d an example of interpolation or extrapolation? Given the bivariate data: 2 3 5 y 7 5 3 2 1 a. Draw a scatter diagram for the data. b. Find n,, and. c. Find a, the slope of the least-square line, and b, the y-intercept of the least-square line. d. Draw the least-square line on the scatter diagram from part a. e. Is the point (, ) on the least-square line? f. Use the equation of the least-square line to predict the value of y when x = 3.4. g. Find the nearest hundredth, the linear correlation coefficient.The two data sets are dependent. Findd to the nearest tenth. X| 11.2 11.3 11.6 12.9 10.6 5) Y 11.1 12.6 12.9 10.7 13.3 A) -0.6 5) B) -0.8 C) -0.4 D) -0.7 1
- part e asks to choose one of the box plotsD. P(pass/morning) = 0.28 P(pass/afternoon) = 0.53 Conclussion: A student taking the test in the morning has a greater chance of passing it than a student taking it in the afternoon.The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable ,) is the square footage, the second independent variable cr) is the number of bedrooms, and the third independent variable 1 is the age of the house.
- sub-part to be answered plz... d) e) f) Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample ofyearly data was taken with the view to testing the model:SALES=?+?AGE+?MIL+?ENGWhere SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the totalmileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 ***…In the vertical-horizontal illusion, two lines are exactly the same length but the vertical line appears to be much longer. To examine the strength of this illusion, a researcher prepared an example in which both lines were exactly 10 inches long. The example was shown to individual participants who were told that the horizontal line was 10 inches long and then were asked to estimate the length of the vertical line. For a sample of n = 25 participants, the average estimate was M = 12.2 inches with a standard deviation of s = 1.00.The accompanying data table compares the prices of some kitchen staples at two grocery stores, A and B. Complete parts (a) to (d). i only want part D solved
