linregressexample

Which of the following scatterplots indicates a strong negative linear relationship between X and Y? Choose the correct answer below. A. Y Y X X B. Y Y X X

In your Capstone software create a table with the following variables: Position x, m: 1, 2, 3, 4 Coefficient of friction μ: 0.36 Velocity v, m/s: v=V 2. u.9.8.x

7. For the data in the following table, assume that the dependent variable changes linearly with respect to the independent variable, then do the following: a. Find the value of the slope, m, and give the units for the slope. I = income (x $1000) (independent E = annual home energy use (kWh) (dependent variable) variable) 0 (i) 2 12,000 4 (ii) 6 15,000 10 (iii)

1. Fill in the columns for the table below (do not calculate b or the y intercept! If you need to show your work, take picture and insert image into work area): Drinks per week (X). GPA (Y). 4.8 3.5 6.6 5.9 7.4 3.8 SX = 2.4 3.0 SY = 1.7 3.8 X² SX² = Y² SY² = XY SXY =

2.An engineer at a semiconductor company wants to model the relationship between the device HFE (y) and three parameters: Emitter-RS (x1), Base-RS (x2), and Emitter-to- Base RS (x3). The data are shown in the following table. X1 X2 X3 X1 X2 X3 y 14.620 226.000 7.000 128.400 15.500 230.200 5.750 97.520 15.630 220.000 3.375 52.620 16.120 226.500 3.750 59.060 14.620 217.400 6.375 113.900 15.130 226.600 6.125 111.800 15.000 220.000 6.000 98.010 15.630 225.600 5.375 89.090 14.500 226.500 7.625 139.900 15.380 229.700 5.875 101.000 15.250 224.100 6.000 102.600 14.380 234.000 8.875 171.900 16.120 220.500 3.375 48.140 15.500 230.000 4.000 66.800 15.130 223.500 6.125 109.600 14.250 224.300 8.000 157.100 15.500 217.600 5.000 82.680 14.500 240.500 10.870 208.400 15.130 228.500 6.625 112.600 14.620 223.700 7.375 133.400 (a) Fit a multiple linear regression model to the data. (b) Predict HFE (y) when x1 =14.5, x2 = 220, and x3 = 5.0.

Step 4 of 6 : Find the estimated value of y when x=2. Round your answer to three decimal places. step 5 of 6: determine if the statement "all points predicted by the linear model fall on the same line" is true or false Step 6 of 6: Find the value of the coefficient determination. Round answer to 3 decimal places

Please answer... I'm needed only 1 hours time to dd .... Thank u

A study was conducted to investigate the number of collisions possible between bumper cars at an amusement park. Assuming that no two bumper cars can collide more than once, which of the following curves of best fit most closely describes the data in the table? # of Cars Possible Collisions 1 1 3 3 4 6 5 10 6 15 7 21 O y = 0.5a? – 0.5x O y = -0.5z? + 0.5x O y = 3.5x – 6 O y = 6x – 3.5

Suppose you fit the first-order model y = Po + B, x, + B2x2 + B3X3 + B,x4 + B5X5 + ɛ to n=28 data points and obtain SSE = 0.33 and R = 0.94. Complete parts a and b. a. Do the values of SSE and R suggest that the model provides a good fit to the data? Explain. A. Yes. Since R = 0.94 is close to 1, this indicates the model provides a good fit. Also, SSE = 0.33 is fairly small, which indicates the model provides a good fit. B. There is not enough information to decide. No. Since R = 0.94 is close to 1, this indicates the model does not provide a good fit. Also, SSE = 0.33 is fairly small, which indicates the model does not provide a good fit. b. Is the model of any use in predicting Test the null hypothesis Ho: B, = B2 = ... = B5 = 0 against the alternative hypothesis: At least of the %3D parameters B1, B2, B5 is nonzero. Use a = 0.05. The test statistic is (Round to two decimal places as needed.)

Which model appears to be the best accordingly? A. Model I B. Model II C. Model III D. Model IV

Given three data points (1, 6). (3, 28), and (10, 231), it is found that the function y= 2x +3x + 1 passes through all the three data points. Your estimate of y at x6.7 is

Two refreshment stands kept track of the number of cases of soda they sold weekly during the summer time, as shown on the dot plots below. Stand A Stand B 10 11 12 13 14 15 16 17 18 19 10 11 12 13 14 15 16 17 18 19 Number of Cases Sold Number of Cases Sold What is the difference between the modes of the number of cases of soda sold? OA. 11 ов. 2 ос. 5 OD. 16