The accompanying data table contains the prices and weights of the diamonds in 10 rings offered for sale. The prices are in dollars and the weights in carats.A simple regression model (SRM) of the data is also found below. Add an imaginary diamond that weighs 45.54 carats and costs $38 million to the data andconstruct a new SRM. Use price as the response and weight as the explanatory variable. Complete parts a through d below.Click the icon to view the data.Click the icon to view the SRM.A. Due to the scaling, only two points are visible, one for the imaginary diamond and one for the other 10 rings.OB. Only the nearly horizontal least squares line passing through the point for the imaginary diamond is visible.C. All the points are visible, but due to the scaling, the 10 smaller rings are tightly clusteredOD. Only the nearly vertical least squares line passing through the point for the imaginary diamond is visible.(b) How does the fitted equation of the SRM to this data change with the addition of this one case?from -211 to dollars.The slopefrom 3,606 to dollars/carat and the intercept(Round to the nearest whole number as needed.) The accompanying data table contains the prices and weights of the diamonds in 10 rings offered for sale. The prices are4 carats anXough d beloData(Daund bothThe weight in carats and price in dollars for 10 diamond ringsWeight 0.29 0.32 0.34 0.17 0.36 0.36 0.12 0.14 0.23 0.26Price 924 881 1,039 445 1,073 1,034 120 320 665 733PrintDone-rings.ble.

The data for the response variable (Price) and the explanatory variable (weight) is given.

Answered: The accompanying data table contains…

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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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.1 7 3.7 2.7 2.8 2.6 0.4 14.3 11 10.1 7.1 6.1 6.2 6.4 4.6 I = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.87x + 3.98. Use this equation to answer the following: Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.4 thousand automatic weapons? Answer = Round to 3 decimal places. Hint: Help Question Help: 9 Message instructor 田 @ 3 16
Lillian conducted a small survey of her friends and family. She asked them how many hours per week they spend reading digital documents (newspapers, blogs, books, etc.), and their age. She created the scatter plot below with the results she obtained. Draw the regression line that best represents this scatter plot and determine its equation.
The director of an alumni association for a small college wants to determine whether there is any type of relationship between the amount of an alumnus’s contribution (in dollars) and the years the alumnus has been out of school. The data follow. What is the value of r? Years x 1 5 3 10 7 6 Contribution y 500 100 300 50 75 80
please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 672 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 53 41 40 40 384 580 542 358 306 320
The chart below shows the correlation between degrees Fahrenheit and degrees Celsius. Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine ºC when ºF = 47.Part d: Does this answer seem reasonable? Explain.
Refer to the data set:Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 5.
It is assumed that the average horsepower for domestic cars is less than the average horsepower for foreign cars. Test whether horsepower for domestic cars is greater than that of foreign cars. What is your dependent variable? Horsepower Highway MPG Drivetrain Manufacturer
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 7.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. x 11.8 8.2 6.8 3.5 2.8 2.8 2.3 0.5 y 13.9 10.8 10.1 7.2 6.5 6.5 6.3 4.8 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.81x + 4.35. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.8 thousand automatic weapons? Answer = Answer = Round to 3 decimal places.
Please help me with the breakdown and steps on this equation.
Use Excel Spreadsheets, Google Sheets, or GeoGebra to create a scatter plot for the data below. (You will upload your graph in the next question.) Use the graph to answer the questions below the table. The following data are the morning and evening high tide levels for Charleston, SC from January 1-14,2017. The information for the PM high tide for January 4 is missing. Create a scatter plot. Find the regression line and use it to estimate the PM high tide for January 4. Then find the correlation coefficient. (NOTE: The first column identifies the day. This data will not be used in the scatter plot.) Day AM High (in feet), xx PM High (in feet), yy 1 5.6 4.8 2 5.5 4.8 3 5.4 4.9 4 5.2 5 5.0 5.1 6 5.2 5.0 7 5.4 4.9 8 5.7 5.0 9 6.0 5.1 10 6.3 5.3 11 6.4 5.4 12 6.5 5.4 13 6.4 5.4 14 6.2 5.3 Source: SCDHEC.gov

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