5. Characterize the overall accuracy of the linear model by computing the sum of the square errors. 6. Use the linear model to predict the wind energy consumption for 2014 and 2015.
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- 9. Write a linear approximation (equation) for the US data. First, clearly define your variables. Use t and N for the computer to understand you. t= N= now write out an equation: Equation:The following linear regression model can be used to predict the number of boat rentals at a marina based on the day's temperature in degrees fahrenheit: Boats ^Rented= 15+4x F How many boats are predicted to be rented if the temperature is 68°F? (Assume extrapolation is not a concern) 323 303 271 2874) State whether a quadratic model or a linear model would be the better fit for this data. Determine the equation of best fit, rounding all coefficients to 2 decimal places, and use that equation to predict the y-value that goes with x-8. 21,5 14 13 8. 3. 4 6. 7 Y -48 -5 9 22 29 37
- 1. Calculate a curve of fit to model the population of the endangered panthers. Explain what the variables represent. 2. Use the model to determine the predicted population of endangered panthers in the year 2019. Show all work. 3. Use the model to determine the predicted population of endangered panthers in the year 2039. Is this an appropriate use of the model?Develop a linear regression equation to predict future demand from thefollowing data:Demand 23 24 31 28 29Year 2008 2009 2010 2011 2012a. Write the regression equation.b. Predict demand for 2015.c. Name the independent variable.d. Name the dependent variable.Linear algebra Determine the equation of the hyperbola, whose real axis has in extreme play the foci of the ellipse 16x² + 25y²-400 = 0 and whose eccentricity is the inverse of the eccentricity of the given ellipse The answer I found:16x²−9y²=144 I wanted to know if it's correct
- What’s a linear modelCanada's trade balance with the rest of the world has been steadily increasing over the past several years. It is well known that the U.S. is Canada's leading trade partner. Is there a predictable linear relationship between our total trade balance and our trade balance with the U.S.? Develop a regression model to predict the trade balance with the U.S. by our trade balance with the rest of the world. Comment on the strength of the model. Develop a time-series trend line for trade balance with the rest of the world by using the time periods given. Forecast total trade balance with the rest of the world for 2020 using this equation. Trade Balance ($ millions) Year Rest of the World U.S. 2010 2,290 4,991 2011 2,486 4,709 2012 2,776 4,641 2013 2,648 5,220 2014 3,068 5,041 2015 3,688 4,750 2016 4,111 4,321 2017 4,172 4,699 2018 3,669 4,777 2019 3,493 4,809 question 1: y̅ = ?+?x question…Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable yˆy^. hour studyings 1 2 4 5 6 midterm grades 62 65 73 75 81
- 4) The table below shows pork production in China from 2000 to 2007. Use a calculator to find the line of best fit and write the equation below the table. Pork Production in China 2002 2003 2004 2005 2006 43,413 45,331 47,177 52,254 52,407 Year Production 2000 40,475 2001 42,010 2007 54,491 4-i) Use your linear model to predict how many metric tons of pork will be produced in 2025. 4-ii) Use your linear model to predict when production is likely to reach 100,000 metric tons.Flying twice as farA flight from Los Angeles to ABQ is about 2 hours but is 670.2 miles.A flight from San Jose to Chicago is 4 hours but is 1859.0 miles.Can anyone explain why the travel time from San Jose to Chicago is notlonger and closer to 5.75 hours?If the distance increase by 2, shouldnt the time increase by a factorof 2 as well?1. Write a linear model for this question. Takeoff and landing will take a fixed amount of time. Actualtravel in the air will take time proportional to the distance traveled. Think about which of thevariables (time and distance) is the independent variable, and identify the slope and intercept withtheir units.2. Use the data in the quotation to estimate the two constants in your linear model.5