he federal government instituted a training program to help participants increase their monthly income. The Department’s inspector general wished to evaluate the program’s success or failure. Monthly income before the training program Monthly income after the training program 1363 1373 1482 1492 1579 1589 1643 1653 1752 1762 1848 1858 1927 1907 2055 2035 2143 2053 2237 2247 1752 1782 1752 1762 1643 1653 1848 1858 1752 1762 Why a Wilcoxon-Ranks test is better for this data set.

Use the scatterplot of Vehicle Registrations below to answer the questions Vehicle Registrations in the United States, 1925- 2011 Vehicles millions 300 y = 3.0161x - $819.5 R? = 0.9695 250 200 150 100 50 1920 -50 1940 1960 1980 2000 2020 Year Is it reasonable to use the model to make predictions for 2021? It [ Select] i reasonable because [Select] Registrations (in millions)

Describe in detail the results achieved on the company’s test. Ignore other variables for now, just describe the test results. Test Result (X) 163 148 142 173 168 155 163 194 119 124 149 171 160 104 165 154 122 160 148 138 158 112 189 163 203 165 176 152 74 129 166 134 124 169 187 163 172 195 149 107 156 183 133 83 148 127 173 95 139 179 136 153 141 155 179 152 129 155 145 113 142 147 171 139 174 143 96 199 143 172 123 146 128 187 138 163 178 154 199 164 123 201 205 135 123 138 195 184 165 196 154 176 82 173 156 149 152 116 174 141 111 74 123 182 157 141 167 162 172 107 149 182 112 135 177 159 138 163 148 198 173 152 142 153 138 102 150 163 170 155 148 104 132 137 151 152 168 109 126 123 209 112 154…

Steve Taylor is the owner of Home Plus, which is a chain of home improvement stores. He would like to investigate the relationship between month advertising and monthly sales. The table below shows the amount spent on advertising, in millions of dollars, over several months along with the corresponding sales, also in millions of dollars. Month Advertising($ millions) Sales($ millions) 1 3 11 2 3 13 3 4 12 4 5 21 5 1 7 Use the Home Plus data to calculate: The standard error of the estimate. The 95% confidence interval for the average sales for a month where $4 million was spent on advertising.