Part(a)
.
equation of the line is


put all data points




system Ax=b is

here we have

.
take



.
take



.
now solve the system for
![LATA].x = AT6](http://img.homeworklib.com/questions/373aff90-e34b-11ea-b7bf-1f10fb8a1997.png?x-oss-process=image/resize,w_560)

the augmented matrix is









least-square solution is

so best fit line

.
.
Part(a)
.

from the graph, we can see that it is not the best fit line
the best fit curve would be a parabola
please answer all parts 4. Least Square Method A. (10 points) Use the least squares method...
Least Square Method Use the least squares method and find a linear fit for the following points: (0, -3), (2, -3), (1, -4), (4, 5) Quickly plot the points (by hand) and comment on the likely quality of the linear fit. Would another type of curve fit be better suited?
Least Square Method Use the least squares method and find a linear fit for the following points: (0, -3), (2, -3), (1, -4), (4, 5)
Use matlab or python please!
3. Estimate the order of accuracy by doing a least squares fit of the form log(E(H))- Kplog(H) to determine K and p based on the 500 data points. Recall that this can be done by solving the following linear system in the least squares sense: 1 log(Hi) 1 log(H2) 1 Гкі log(E(Hi)) | log(E(H2)) 1 log(Hsoo log(E(H,00 NOTE: "In the least-squares sense means that one should solve the rectangular system Ax = b, by solving...
Please explain your answer
Suppose that we use least-squares to fit a polynomial trend to this time series. Figure 4 displays the original time series plot along with the fitted values. Time Series and Polynomial Fit of the Trend 10 15 Time Figure 4 Which of the following characteristics is the model able to capture? Trend Seasonality Trend and seasonality Seasonality and heteroskedasticity
Please explain your answer
Suppose that we use least-squares to fit a seasonal-means trend to this time series. Figure 3 displays the original time series plot along wtih the fitted values. Time Series and Seasonal-Means Fit 10 15 Time Figure 3 Which of the following characteristics is the model able to capture? Trend Seasonality ● Trend and seasonality Seasonality and heteroskedasticity
Please answer these two sub-parts
please answer only 10. Chi Square one. Give Handwritten. Ignore all
the above questions
Question 4 (20 points) A firm has the following short-run production function as follows: Q = 15L + 18L2 – 0.5L}, where Q = total products per period and L = number of workers employed per period. 4.3) (6 points) Determine the boundaries (ranges of number of workers) for the three stages of production process . Stage 1: Stage II: •...
Fit a linear function of the form f (t) = c0 +c1t to the data points (-4;22), (0;-3), (4;-34), using least squares. c0 =? c1=?
please write down detailed solution (do not copy
3. [Polynomial interpolation versus least squares fitting, 10pts] Recall how Q7 in HW3 required you to find the cubic best fit to six given data points. This led to a least squares optimization problem. We are given the same points as in HW3: i 01 | 2 | 3 | 4 | 5 X 0.0 0.5 1.0 1.5 2.0 2.5 Y 0.0 0.20 0.27 0.30 0.32 0.33 (a) Write down the least...
Please show work
Method of Least Squares, Developing and Using the Cost Formula The method of least squares was used to develop a cost equation to predict the cost of receiving purchased parts at a video game manufacturer. Ninety-six data points from monthly data were used for the regression. The following computer output was received: Intercept 183,800 Slope 295 The cost driver used was number of parts inspected. Required: 1. What is the cost formula? Total cost of receiving =...
0 3 X Y 2 4 4 Given to the right are two linear equations and a set of data points a. Graph the linear equations and data points. b. Complete tables for X. y. y. e, and e? c. Determine which line fits the set of data points better, according to the least squares criterion Line Ay=-1+3x Line : y=1+2x a. Graph the linear equations and data points. Note that Line Ais dashed red and Line B is solid...