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8. Comparing two different datasets. a. Using Excel, plot the following datasets (A, B) as two scatterplots. Download an Excel spreadsheet with the data here. Fit a linear trend line to each dataset and display the equation of the line. Copy and paste screenshots of the plots in the boxes below" B A Tree age (years) Circumference Volume of Oil Energy Combustion (centimeters). (ml) (kilojoules, kJ) 6 38 100 3,238 13 50 101 3,300 16 69 112 3,520 28 83 118 3,815 30 88 124 4,015 37 102 131 4,241 43 117 143 4,530 53 179 152 4,921 64 162 153 4,953 91 271 171 5,536 98 365 186 6,032 97 355 189 6,119 104 345 191 6,184 125 343 195 6,313 133 488 196 6,446 138 509 200 6,475 A. screenshot of scatterplot: B. screenshot of scatterplot: b. Calculate the R2 value for each of the two data sets manually in Excel following steps in Toolkit 2B. Report 2 significant figures. A. R-squared value B. R-squared value c. Do data sets A or B have notable outliers (0) (yes/no)? By how many percentage points does the R2 value decrease or increase when this/these outliers are removed? (ii) (0) (ii)

8. Comparing two different datasets. a. Using Excel, plot the following datasets (A, B) as two scatterplots. Download an Excel spreadsheet with the data here. Fit a linear trend line to each dataset and display the equation of the line. Copy and paste screenshots of the plots in the boxes below" B A Tree age (years) Circumference Volume of Oil Energy Combustion (centimeters). (ml) (kilojoules, kJ) 6 38 100 3,238 13 50 101 3,300 16 69 112 3,520 28 83 118 3,815 30 88 124 4,015 37 102 131 4,241 43 117 143 4,530 53 179 152 4,921 64 162 153 4,953 91 271 171 5,536 98 365 186 6,032 97 355 189 6,119 104 345 191 6,184 125 343 195 6,313 133 488 196 6,446 138 509 200 6,475 A. screenshot of scatterplot: B. screenshot of scatterplot: b. Calculate the R2 value for each of the two data sets manually in Excel following steps in Toolkit 2B. Report 2 significant figures. A. R-squared value B. R-squared value c. Do data sets A or B have notable outliers (0) (yes/no)? By how many percentage points does the R2 value decrease or increase when this/these outliers are removed? (ii) (0) (ii)

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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8. Comparing two different datasets. a. Using Excel, plot the following datasets (A, B) as two scatterplots. Download an Excel spreadsheet with the data here. Fit a linear trend line to each dataset and display the equation of the line. Copy and paste screenshots of the plots in the boxes below" B A Tree age (years) Circumference Volume of Oil Energy Combustion (centimeters). (ml) (kilojoules, kJ) 6 38 100 3,238 13 50 101 3,300 16 69 112 3,520 28 83 118 3,815 30 88 124 4,015 37 102 131 4,241 43 117 143 4,530 53 179 152 4,921 64 162 153 4,953 91 271 171 5,536 98 365 186 6,032 97 355 189 6,119 104 345 191 6,184 125 343 195 6,313 133 488 196 6,446 138 509 200 6,475 A. screenshot of scatterplot: B. screenshot of scatterplot: b. Calculate the R2 value for each of the two data sets manually in Excel following steps in Toolkit 2B. Report 2 significant figures. A. R-squared value B. R-squared value c. Do data sets A or B have notable outliers (0) (yes/no)? By how many percentage points does the R2 value decrease or increase when this/these outliers are removed? (ii) (0) (ii)
Transcribed Image Text:8. Comparing two different datasets. a. Using Excel, plot the following datasets (A, B) as two scatterplots. Download an Excel spreadsheet with the data here. Fit a linear trend line to each dataset and display the equation of the line. Copy and paste screenshots of the plots in the boxes below" B A Tree age (years) Circumference Volume of Oil Energy Combustion (centimeters). (ml) (kilojoules, kJ) 6 38 100 3,238 13 50 101 3,300 16 69 112 3,520 28 83 118 3,815 30 88 124 4,015 37 102 131 4,241 43 117 143 4,530 53 179 152 4,921 64 162 153 4,953 91 271 171 5,536 98 365 186 6,032 97 355 189 6,119 104 345 191 6,184 125 343 195 6,313 133 488 196 6,446 138 509 200 6,475 A. screenshot of scatterplot: B. screenshot of scatterplot: b. Calculate the R2 value for each of the two data sets manually in Excel following steps in Toolkit 2B. Report 2 significant figures. A. R-squared value B. R-squared value c. Do data sets A or B have notable outliers (0) (yes/no)? By how many percentage points does the R2 value decrease or increase when this/these outliers are removed? (ii) (0) (ii)
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