An article presents the results of an experiment in which the surface roughness (in μm) was measured for 15 D2 steelspecimens and compared with the roughness predicted by a neural network model. The results are presented in thefollowing table.TRUE Value (x)Predicted Value (y)of 60.450.4000.820.70.540.520.410.390.770.742:30:150.790.780.250.27pped0.620.60.910.870.52Book0.511.020.91Hint0.60.71Ask0.580.5erences0.870.911.061.04۵To check the accuracy of the prediction method, the linear model y=Bo+B1x+ & is fit. If the prediction method isaccurate, the value of Bo will be 0 and the value of ẞ1 will be 1.Note: This problem has a reduced data set for ease of performing the calculations required. This differs from the dataset given for this problem in the text.

Here the dependent variable (y) is the predicted value.The independent variable (x) is the TRUE…

Answered: 1.06 1.04 To check the accuracy of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1.)Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account. 2.)For the men’s scatter plot, from question 1, find the line through (25,60) and (15,40) and then find the RSE for the line. 3. Find the regression line for the points in the men’s scatter plot from question 1. 4.)Use the regression as a model to predict how many facebook friends a man who visits Facebook 80 times per week should have. 5.)Find the RSE for the regression line in question 3.
I need help with number 14, please.
use the following information: A study of the mail survey response rate patterns of people aged 60- 90 found a prediction equation of ŷ = 90.2-0.6x relating x = age (in years) and y = percentage of people who responded to the survey. 6) Interpret the slope in the linear equation (ŷ = 90.2-0.6x). Using the linear prediction equation, find the predicted response rate for a (i) 60-year-old and (ii) 90-year-old. Predicted response rate for 60-year-old: Predicted response rate for 90-year-old:
In a study, the simple linear regression equation was found as y = - 2.65 + 3.23 * x. Accordingly, if the value of x is 1.55, what will be the value of "y"? Biraraştımada basit doğrusal regresyon denklemi y-265+3,23xolarak bulunmuştur. Buna yöre xin değeri 1,55 olursa y'nin değeri ne olur?- 25 - O A) -2,36 O B) 2,36 O C) 6,32 O D) -7,66 O E) 7,66
Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
1) Draw the graph of the estimated regression below. Y₁ = Bo + B₁X₁B₂X² + B3X²
The I-85 Carpet Outlet wants to develop a means to forecastits carpet sales. The store manager believes that the store’s sales are directly related to the number of new housing starts in town. The manager has gathered data from county records of monthly house construction permits and from store records on monthly sales. These data are as follows: a. Develop a linear regression model for this data and forecast carpet sales if 25 construction permits for new homes are filed. b. Determine the strength of the causal relationship be- tween monthly sales and new home construction using correlation. Monthly Carpet Sales Monthly Construction(1000s yd) Permits5 1712 306 125 14
give handwritten answer of the question-Which one of the following is the most used model or calibration curve for a one-component system in quantitative analysis? Y = bo + b1X1 + b2X2 + error Y = bo + b1X + b1X2 + error Y = bo + b1X + error Y = bo + b1X1 + b2X2 + b3X1X2 + error
Typed plz do question same as question is asking plz
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.4 8 7 3.6 2.7 2.5 2.7 0.8 yy 13.4 11 10.1 7.2 6.2 6.1 6.4 4.7 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.84x+4.09.y=0.84x+4.09. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 4.7 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 6.6 thousand automatic weapons?Answer = Round to 3 decimal places.
This data table contians the listed prices and weights of the diamonds in 48 rings offered for sale in The Singapore Times. The prices are in Singapore dollars, with the weights in crats. Estimate the linear regression using weight as the explanatory variable and price as the response variable using the following two methods: a) Create a scatterplot with trendline (be sure to show the equation and R-square on the chart.) b) Use the Data Analysis Toolpak to do the work for you.

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