IMG_0111

Us the table of data below to answer the following question. Which of these correctly has the linear velocity of the ankle in both the horizontal (X) and Vertical (Y) directions as determined by using the First Cental Difference formula for time 0.083 and 0.091 sec. Time (s) Ankle X (mm) Ankle Y (mm) 0.075 712.6 163.3 0.083 727.4 175.9 0.091 738.9 186.7 0.099 750.0 199.9

.      Below is the distance (X) of lightning flash versus charge (Y) transferred to earth X 6 6 6 6 6 7 9 10 10 10 11 12 15 15 18 23 Y 23 49 46 47 94 80 133 81 114 274 260 378 197 21 1035 1065 We wish to know if there is a direct relationship between X and Y and we conducted a test at the 5% level of significance. The test statistic we should find is equal to   a.  0.6333  b.  0.5631 c.  0.317 d.  None   Therefore, the decision we make is   a.  Fail to accept  b.  Accept c. Reject d. Can’ t tell

The following table shows total military and arms trade expenditure for a certain country in 2000, 2006, and 2012. Year t (year since 2000) 0 6 12 Military Expenditure C(t)($ billion) 380 540 660 (a) Compute the average rate of change of C(t) over the period 2006–2012 (that is, [6, 12]). Be sure to state the units of measurement.        Interpret the average rate of change. This country's military expenditure increased at an average rate of about       between 2006 and 2012. (b) Compute the average rate of change of C(t) over the period [0, 12]. Be sure to state the units of measurement. (Round your answer to two decimal places.)       Interpret the average rate of change.  This country's military expenditure increased at an average rate of about       between 2000 and 2012.

Do the data in Table 1 suggest a linear relation between the pressure P and temperature T of a gas? Temperature (°C) Pressure (kPa) 40 1365.80 45 1385.40 55 1424.60 70 1483.40 80 1522.60

Jóhannes plans to examine the salary of a middle manager in a large company. He collects data on salaries and how long they have been employed as middle managers with the aim of creating a model that can predict salaries with work experience. Jóhannes has data from 20 randomly selected middle managers who range from being new to the job to having 12 years of work experience. Jóhannes started by drawing the data and sees that the relationship is linear. He also calculates some light sizes that can be seen below: Convert Average Standard deviation Salary 761041 238473 Job experience 5,65 3,71 He also calculated the correlation coefficient between wages and work experience and obtained a r = 0.82. a) Find an equal regression line for Jóhannes's modelb) What is the explanatory power of the model and what does it tell us?c) How much does a middle manager's salary increase in five years according to the model?d) Use the model to predict the salary of a middle manager with 20 years…

28. Below is some of the regression output from a regression of the amount rental houses on an island rent for (expressed in thousands of $'s) based on the size of the house (expressed in square feet), whether the house has an ocean front view (VIEW = 1 if it has an ocean front view and = 0 if not), and an interaction term between the ocean front view dummy variable and the size of the house. If the estimated equation is:Price = 1,251 + 0.34*Size + 1,538*View + 0.07*(Size*View) Suppose you just built a house with an ocean front view that is 3600 square feet and you want to decide how much to rent it for. What is the predicted price of a house that is 3600 square feet and has an ocean front view? (please express your answer using 1 decimal places)

10.  Figure 1 The data are the maximum daily temperatures at Cox-Dayton International Airport for June and July 2018. maximum daily temperatures at Cox-Dayton International Airport for June and July 2018. Date Max (°F) Jun 1               80 Jun 2               82 Jun 3               81 Jun 4               75 Jun 5               76 Jun 6               71 Jun 7               82 Jun 8               85 Jun 9               86 Jun 10              77 Jun 11              75 Jun 12              78 Jun 13              85 Jun 14              82 Jun 15              86 Jun 16              90 Jun 17              92 Jun 18              92 Jun 19              89 Jun 20              85 Jun 21              72 Jun 22              81 Jun 23              79 Jun 24              85 Jun 25              79 Jun 26              79 Jun 27              81 Jun 28              85 Jun 29              89 Jun 30              92 Jul 1                93…

Which of the following is the most appropriate equation to model the data?  ŷ = 1.1x + 1.467  ŷ = 1.467x + 1.1  ŷ = 1.1(1.467)x  ŷ = 1.467(1.1)x

Q, 1:   Environtech Engineering, a company that specializes in the construction of antipollution filtration devices, has recorded the following sales record over the last 9 years: Year 1987 1988 1989 1990 1991 1992 1993 1994 1995 Sales (x 100,000) 13 15 19 21 27 35 47 49 97   a)      Plot these data with suitable scale and define shape. b)      Develop the linear estimating equation that best describes these data, and plot this line on the graph from part (a). c)      Develop the second-degree estimating equation that best describes these data, and plot this curve on the graph from part (a). d)      Does the market to the best of your knowledge favor (b) or (c) as the more accurate estimating method?

Following are chest size and weight data for 6randomly selected bears. Here, x denotes chest​ size, in​ inches, and y denotes​ weight, in pounds. Use the information to complete parts   x 55 44 46 58 40 54   y 329 276 270 346 256 333   a. Find the regression equation for the data points. Y=  _________     (round to two decimal palces as needed)   b. Graph the regression equation and the data points.   c. Describe the apparent relationship between the two variables. A.  Weight tends to increase as chest size increases. B.   Weight tends to decrease as chest size increases. C.  Weight remains constant as chest size increases. D.  There is no apparent relationship between weight and chest size.     d. Identify the predictor and response variables. A.  The predictor variable is chest size and the response variable is weight. B.  The predictor variable is bear and the response variable is chest size. C.  The predictor…