Question 39/50Sharon made a scatterplot comparing the shoulder heights of dogs to their weights.39120110-A 100-9080-70-60-50-40-30-20-10-2 4 6 8 10 12 14 16 18 20 22 24 26 28 30Height (inches)Sharon's dog has a shoulder height of 28 inches. Using a linear model, which is the best prediction of her dog's weight?A 85 poundsB 90 poundsC105 poundsD 120 poundsWeight (pounds)

Answered: Sharon made a scatterplot comparing the…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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The price of a stamp is shown in the table for various years. Year 2007 2008 2011 2012 2013 2015 2016 2017 2018 2019 Price of a Stamp (cents) 41 42 44 45 46 49 47 49 50 55 (a) Find a linear equation for the prince P of a first class stamp t years after 2000. Round to 2 decimal places.
A The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places Y Raspberry Type Farm A - North Field Farm B North Field Farm A South Field Farm B South Field Farm C-Small Field Farm D Farm E x+ grams 45 60 75 90 105 120 135 Vitamin C content in mg 7.3 13.9 21 27.2 33.6 41.4 48.7
How do you figure this out using conjoint analysis in a linear regression? Determine how various attributes impact the purchase of a car. There are four attributes, each with three levels: Brand: Ford = 1, Chrysler = 2, GM = 3 MPG: 15 MPG = 1, 20 MPG = 2, 25 MPG = 3 Horsepower (HP): 100 HP = 1, 150 HP = 2, 200 HP = 3 Price: $18,000 = 1, $21,000 = 2, $24,000 = 3 The nine product profiles ranked in the data file were evaluated by a consumer. (a) For this market segment, rank the product attributes from most important to least important. Below is the data provided. Brand MPG Power Price Rank 1 1 1 1 4 1 2 2 3 7 1 3 3 2 3 2 1 2 2 6 2 2 3 1 2 2 3 1 3 9 3 1 3 3 8 3 2 1 2 5 3 3 2 1 1
The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54
a. According to the linear model, what was the average cost of room and board at public four-year colleges for the school year ending in 2013? The average cost was $___(Round to the nearest dollar as needed.) Im looking at the graph image and still do not understand this math problem. Please help. Both answers that I came up with for this solution, 5877 were incorrect and 7228 was also incorrect.
Data in the table comes from the NASA Global Climate Change website. It gives the average globaltemperature, in Celsius, for the given year. Use both rows for your calculations. For this problem, youwill see how well year correlates with the average temperature. Let ? be the number of years since1984 and ? be the average global temperature in degrees Celsius.Year 1984 1986 1988 1990 1992 1994 1996 1998 2000Temp 0.16 0.18 0.38 0.45 0.22 0.31 0.33 0.61 0.40Year 2002 2004 2006 2008 2010 2012 2014 2016 2018Temp 0.63 0.54 0.64 0.54 0.72 0.64 0.75 1.02 0.85a. Make a scatterplot of the data. Being sure to clearly label each axis. Keep in mind howeach variable is defined. Based on this scatterplot, is a linear model reasonable for this data set?Briefly explain.b. Determine the correlation coefficient for this data. Interpret this value in context.c. Determine the coefficient of determination for this data. Interpret this value incontext.d.State the regression line for the data.e. What does the…
Day Highest Temperature Lowest Temperature Thursday 07/07 24 Degree 14 Degree Friday 08/07 27 Degree 15 Degree Saturday 09/07 25 Degree 15 Degree Sunday 10/07 27 Degree 16 Degree Monday 11/07 29 Degree 16 Degree Tuesday 12/07 31 Degree 17 Degree Wednesday 13/07 29 Degree 15 Degree Thursday 14/07 28 Degree 16 Degree Friday 15/07 28 Degree 17 Degree Saturday 16/07 29 Degree 18 Degree For the data above , use the linear forecasting model which is y = mx + c to calculate and discuss the followings: Show the steps of calculation of m value and discuss the answer. Show the steps of calculation of c value and discuss the answer. Using the calculated 'm' and 'c' values, forecast the temperature for day 11 and day 14. Hint - Use the following formulas to calculate the ‘m’ and ‘c’ values. m = c =
The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams Vitamin Ccontent in mg 65 16.4 75 20.8 85 24.7 95 30 105 34.9 115 39.5 125 43.7 A) Find the regression equation: y=y= x+x+ Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 155 grams of raspberries what is the expected Vitamin C content? mgmg (round to the nearest tenth)
A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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