Quarterly Average Revenue For Hybrid Vehicle (2018-2019) $180.00 $175.00 $170.00 $165.00 $160.00 $155.00 $150.00 $145.00 $140.00 $135.00 innill Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Airport Airport Airport Airport Airport Airport Airport Airport 01 02 Q3 Q4 Q1 02 03 Q4 2018 2018 2018 2018 2019 2019 2019 2019 1 Quarterly Average Quarterly Average Revenue For Premium Vehicle (2019) $180.00 $175.00 $170.00 $165.00 $160.00 Premium Premium Premium Premium Airport Airport Airport Airport 01 02 Q3 Q4 2019 2019 2019 2019 Series 3 (LR1) Describe your topic, provide your data, and cite your sourco. Collect at least data points Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data) The posting to your needs with your simates and to get you are per tudowy proposed at det et off on the foot onderstand the intent the poor provides oportunity for some for stolets may choose similar toples, tout must have different data sets for example, were may be interested that and that time of different dat de bom different wat different gender (R2) Plot the points (XV) to obtain a scatteplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually udos wether the data mis ehitta relatively new trend. (Irs, proceed to try a different topit or data (LR-3) Find the line of best it (regression time and graph it on the scatterplot. State the equation of the line (R4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two (5) Find and state the value of the coefficient of determination, and the correlation coefficient. Discuss your findings in a few sentences. Is positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationshlo very strong, moderately strong, weak, or nonexistent? (6) Choose a value of interest and use the line of best it to make an estimate or prediction Show calculation work (LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project topic, data, scatterplot, line, or estimate, etc.) that you found particularly important or interesting I think a subset of the data you have may work best for the linear project for this class. For example, on the Airport tab in your spreadsheet, the graph showing the Quarterly Average Revenue For Hybrid Vehicles is somewhat linear and may work for your project. LR-1) Describe your tonic provide your data and cite your source Collect at least odata points. Label appropriately. (Highly recommended: Post this formation in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your osting. Each student must use different data) with the desting is twofold (1) loh your note with your imates, and >>Tule me a chance to win the thumb and med en el olf on the wrong foot orderstand the theories an opport from student may choose similar ple, but must have different data storage students may be red in particole Om out, this time, but they come front from rent gender R-2) plot the points (XV) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully, only do whather the data nhibits relatively linear trend. (If so, proceed. If not try a diferent topic or data) R-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line R-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two. R-5) Find and state the value of the coefficient of determination, and the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative hy? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent? R-6) Choose a value of interest and use the line of best fit to make an estimate or prediction, Show calculation work R-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, et or estimate, etc.) that you found particularly important or interesting nerin teadshot canner Quarterly Average Revenue For Hybrid Vehicle (2018-2019) $180.00 $175.00 $170.00 $165.00 $160.00 $155.00 $150.00 $145.00 $140.00 $135.00 innill Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Hybrid Airport Airport Airport Airport Airport Airport Airport Airport 01 02 Q3 Q4 Q1 02 03 Q4 2018 2018 2018 2018 2019 2019 2019 2019 1 Quarterly Average Quarterly Average Revenue For Premium Vehicle (2019) $180.00 $175.00 $170.00 $165.00 $160.00 Premium Premium Premium Premium Airport Airport Airport Airport 01 02 Q3 Q4 2019 2019 2019 2019 Series 3 (LR1) Describe your topic, provide your data, and cite your sourco. Collect at least data points Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data) The posting to your needs with your simates and to get you are per tudowy proposed at det et off on the foot onderstand the intent the poor provides oportunity for some for stolets may choose similar toples, tout must have different data sets for example, were may be interested that and that time of different dat de bom different wat different gender (R2) Plot the points (XV) to obtain a scatteplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually udos wether the data mis ehitta relatively new trend. (Irs, proceed to try a different topit or data (LR-3) Find the line of best it (regression time and graph it on the scatterplot. State the equation of the line (R4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two (5) Find and state the value of the coefficient of determination, and the correlation coefficient. Discuss your findings in a few sentences. Is positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationshlo very strong, moderately strong, weak, or nonexistent? (6) Choose a value of interest and use the line of best it to make an estimate or prediction Show calculation work (LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project topic, data, scatterplot, line, or estimate, etc.) that you found particularly important or interesting I think a subset of the data you have may work best for the linear project for this class. For example, on the Airport tab in your spreadsheet, the graph showing the Quarterly Average Revenue For Hybrid Vehicles is somewhat linear and may work for your project. LR-1) Describe your tonic provide your data and cite your source Collect at least odata points. Label appropriately. (Highly recommended: Post this formation in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your osting. Each student must use different data) with the desting is twofold (1) loh your note with your imates, and >>Tule me a chance to win the thumb and med en el olf on the wrong foot orderstand the theories an opport from student may choose similar ple, but must have different data storage students may be red in particole Om out, this time, but they come front from rent gender R-2) plot the points (XV) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully, only do whather the data nhibits relatively linear trend. (If so, proceed. If not try a diferent topic or data) R-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line R-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two. R-5) Find and state the value of the coefficient of determination, and the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative hy? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent? R-6) Choose a value of interest and use the line of best fit to make an estimate or prediction, Show calculation work R-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, et or estimate, etc.) that you found particularly important or interesting nerin teadshot canner