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Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)

Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
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Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)
Transcribed Image Text:Consider the following data now answer the following questions: A C D D E Age Height (cm) Weight (kg) 21 30 156 68 22 57 158 72 57 169 100 23 21 167 76 47 183 57 24 45 196 65 39 164 69 25 35 172 65 60 173 65 26 52 163 80 44 156 100 27 47 193 62 59 167 59 28 22 168 83 21 153 56 29 27 199 73 29 196 88 30 55 163 55 100 25 191 70 31 18 170 85 42 158 89 32 42 197 89 33 162 72 33 51 196 100 31 168 59 34 55 155 67 35 43 150 63 90 23 150 70 96 36 53 178 50 54 168 83 37 38 194 68 57 154 80 38 52 186 64 38 169 68 39 28 170 77 47 168 93 40 39 161 50 31 176 99 41 55 155 83 44 166 87 42 38 157 66 30 156 68 43 41 189 70 57 158 72 44 53 182 100 Weight (kg) 80 70 45 38 172 98 21 167 76 45 196 65 46 55 183 93 47 34 194 83 35 172 65 48 55 194 91 52 163 80 49 49 200 97 60 47 193 62 50 42 182 68 22 168 83 51 25 158 89 Correlation and Regression 5. Calculate the Pearson correlation coefficient between height and weight. Is there a significant relationship between these variables? 6. Perform a linear regression to predict weight based on height. What is the regression equation? How strong is the model fit? x Scatter Plot of Height vs. Weight xx xx 50 150 160 170 180 190 200 Height (cm)
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