Use the quartic regression capability of your calculator to find a quartic model for this data....
1. Find the cubic function that models the data in the table below. x -2,-1,0,1,2,3,4 y 48,9,0,3,0,-27,-96 y= ______? (Simplify your answer. Do not factor. Use integers or decimals for any numbers in the expression. Round to three decimal places as needed.) 2. Find the quartic function that is the best fit for the data in the table below. Report the model with three significant digits in the coefficients. x -2,-1,0,1,2,3,4 y 1,-0.5,0,-0.5,1,13.5,52 y = ______ ? (Simplify your answer....
Find the required linear model using least-squares regression. The accompanying table shows the approximate amount (in billions of dollars) of student loans in repayment in various quarters of 2015 and 2016. Let x = 1 correspond to the first quarter of 2015. 1 6 Quarter Loans in Repayment 2 545 3 570 4 575 5 605 7 650 500 625 (a) Find a linear model for these data. (b) Assuming the trend continues, estimate the amount of loans in repayment...
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 11 8 11 8 12 13 7 4 12 6 5 y 7.58 6.69 13.24 7.32 7.62 8.52 6.09 5.15 8.13 6.15 5.52 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.)
11:59pm Points 100 Submitting an external tool Question Using a calculator or statistical software, find the linear regression line for the data in the table below. Then, use the equation to estimate the value of y when x is 12. • Round the values of a and b to the nearest hundredth, then use the equation to solve for y when I = 12. Round th final answer to the nearest hundredth. 3 4 5 6 y 3.44 5.84 8.23...
Based on the data shown below, use your graphing calculator or Excel to calculate the regression line (each value to two decimal places)y = x + xy221.3322.15421.4518.75618.4714.35814.7912.65109.31110.55129.4135.15146152.55163.1
Regression a. Find the equation of the regression line? b. Create a scatterplot of the data. c. Identify a characteristic of the data that is ignored by the regression line. PLEASE USE TI83 OR TI84 CALCULATIONS IN YOUR REPLY AS THAT IS WHAT IS INSTRUCTED IN THE TEXTBOOK AND EXAMS. I WILL ONLY RATE ANSWERS WITH THE GRAPHIC CALCULATOR STEPS. THANK YOU! Use the given data to find the equation of the regression line. Examine the scatterplot and identify a...
Compute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-intercept to at least four decimal places. x 5 7 6 2 1 y 4 3 2 1 Send data Regression line equation: y = Submit Assignment 2019 McGraw- Hill Education. All Rights Reserved. Terms of Use | Privacy ERTI YU
Use your TI-83/84 to find the regression line to predict from using the following data. X61041412Y49.53119Round your answers to three decimal places. Note: Students are to make sure you type in the appropriate negative sign, if appropriate! The regression equation is y-hat = _______ +_______ *x
a. Find the quartic equation describing the model. Round to three decimal places. b. Complete the table provided with the predicted oil imports from OPEC, and the error. Use the unrounded model. c. Find the average error for the model. Use the unrounded model. d. The scatter plot of the data is shown. Sketch the graph of the model showing how it relates to the scatter plot. e. Using the unrounded model, what would be the predicted oil imports from...
d. We will use pinv function to find a linear regression model to map the measurement data to truth data. Our model will be Y-AX. Y is the truth data matrix Y [ yı; y2i yai ya; ysi yg: y7 ]. A is the tmeasurement data matrix A=[ 1 mh; 1 m2. 1 mai 1 m4; 1 ms: 1 mt 6:1 m7 I . and X-[Xo: x1] is the coefficient of your regression model. Truth Data yn -1 0 Measurement...