Determine whether the scatter plot should be modeled by a linear, power, quadratic, cubic, or quartic...
Classify the polynomial as constant, linear, quadratic, cubic, or quartic, and determine the leading term, the leading coefficient, and the degree of the polynomial. g(x) -6x 5 The polynomial is OA. constant. OB. linear. C. quadratic. OD. quartic O E. cubic. What is the leading term of the polynomial? O -6x3 The leading coefficient of the polynomial is The degree of the polynomial is
Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Intercept х x2 Linear 28.53 0.12 NA NA Quadratic 28.80 0.01 0.01 Cubic 28.62 0.15 -0.02 -0.01 x3 NA R2 Adjusted R2 0.005 -0.021 0.006 -0.048 0.006 -0.077 a. Predict y for x = 2 and 4 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal...
Construct a scatter plot for the given data. Determine whether there is positive, negative, or no linear correlation. 5342 0213 1166344
Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Linear Quadratic Cubic Intercept 9.66 10.00 10.06 x 2.66 2.75 1.83 x2 NA −0.31 −0.33 x3 NA NA 0.26 R2 0.810 0.836 0.896 Adjusted R2 0.809 0.833 0.895 a. Predict y for x = 1 and 2 with each of the estimated models. (Round intermediate calculations and final answers to 2 decimal places.) b. Select the most appropriate...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
(Round all intermediate calculations to at least 4 decimal places.) Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Linear Quadratic Cubic Intercept 25.97 20.73 16.20 x 0.47 2.82 6.43 x2 NA −0.20 −0.92 x3 NA NA 0.04 R2 0.060 0.138 0.163 Adjusted R2 0.035 0.091 0.093 pictureClick here for the Excel Data File a. Predict y for x = 3 and 5 with each of the...
in MATLAB Curve fitting Given the following data, find the best linear functional relationship and cubic functional relationship using “polyfit,” “polyval,” and “plot” built-in functions. Plot all three fits that you got from Matlab. A rough plot by hand is allowable. You do not need to provide any codes. x = [-3, -2, 0, 1, 3, 4, 6, 7, 8, 9]; y = [5, 7, 8, 10, 6, 2, -4, -6, -2, 1];
Which of the following plots can help determine whether a linear regression function is appropriate for the data being analyzed? (Select all that apply) Select one or more: a. Scatter plot b. Residual plot against the predictor variable c. Residual plot against the fitted values d. Normal probability plot
only (c) please Find the least squares fit to the data x0 12 (a) By a linear function. Plot your linear function along with the data on a coordinate system. (b) By a quadratic polynomial. Sketch the graph. c) By a function of the form ya2 b2*. 2-1 Find the least squares fit to the data x0 12 (a) By a linear function. Plot your linear function along with the data on a coordinate system. (b) By a quadratic polynomial....
10. Display the following data on a scatter plot. What relationship do you see? (3 pts) please show all steps and work X Y 1 8 5 3 4 4 4 6 1 7 7 2 8 2