Body weight | Bench press |
148 | 145 |
176 | 148 |
154 | 133 |
189 | 156 |
181 | 166 |
217 | 174 |
210 | 168 |
150 | 139 |
137 | 109 |
151 | 119 |
172 | 138 |
219 | 167 |
142 | 131 |
143 | 119 |
164 | 151 |
136 | 124 |
147 | 149 |
129 | 134 |
219 | 162 |
169 | 140 |
180 | 149 |
187 | 156 |
198 | 149 |
156 | 131 |
220 | 149 |
154 | 138 |
212 | 147 |
122 | 122 |
163 | 133 |
136 | 136 |
Applying regression from megastat:
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=28) | p-value | 95% lower | 95% upper |
Intercept | 70.1712 | 10.3998 | 6.747 | 2.51E-07 | 48.8682 | 91.4742 |
Body weight | 0.4284 | 0.0605 | 7.082 | 1.05E-07 | 0.3045 | 0.5524 |
Predicted values for: Bench press | ||||||
95% Confidence Interval | 95% Prediction Interval | |||||
Body weight | Predicted | lower | upper | lower | upper | Leverage |
150 | 134.44 | 130.07 | 138.80 | 113.97 | 154.90 | 0.05 |
b)
lower limit =130.07
c)
upper limit =138.80
d)
lower limit =113.97
e)
upper limit =154.90
Body weight Bench press 148 145 176 148 154 133 189 156 181 166 217 174...
You have two groups of apples (data below). You want to see if there is a statistical differnce between the two groups. Run descriptives and a two tailed, two sample assuming equal variance t-test. Here's your data: Weight of Apples in Grams Apple ID Farm A Farm B 1 131 151 2 147 159 3 134 162 4 134 158 5 136 159 6 137 160 7 140 150 8 134 160 9 136 160 10 133 160 11 134...
Electric Bill 99 174 205 181 150 105 156 200 130 85 160 188 93 119 175 114 151 216 133 168 144 152 209 178 126 131 147 171 112 170 98 166 153 157 133 146 190 169 142 152 111 122 186 154 117 138 194 140 132 161 In our text, "Applied Business Statistics for Business Managers using Excel," please read Chapters 2 and 3. In Chapter 2, you will be learning how to construct some...
(Use Excel) italy common for people to put on weight when they quit smoking While a small weight gain is normal c e weight gain can create new health concerns that brode the benefits of not smoking. The accompanying table shows a portion of the weight data for 50 women before quitting and six months after quitting Use Table 2 Weight Before Quilling 140 144 138 Weight After Quilling 155 142 163 146 129 149 136 127 158 145 118...
Population 1 Female weights Population 2 male weights 128 190 142 145 130 150 133 127 195 165 166 155 112 155 180 180 180 156 155 188 144 220 140 154 143 200 110 210 160 270 125 250 130 180 150 250 145 240 180 170 175 150 108 155 200 195 151 210 170 155 141 165 200 145 185 190 142 234 125 205 130 151 240 153 160 172 120 200 210 130 220 210...
Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your pre-pregnancy weight six months after giving birth. Public health officials are interested in whether this is a realistic goal. Do the women in North Carolina weigh more than their pre-pregnancy weight six months postpartum? In other words, is the six months post-pregnancy weight greater than their pre-pregnancy weight? Use a paired samples t-test to compare pst6wght (variable 1) and prewght (variable 2). This uses...
what should line 155 and 156 say? 117 print (AverageAdulLupului 118 19 #Though wait... If you look at AdultTotal and Number of Species, the calculation 20 #should be 114/9....That's not 12! It's 12 and two thirds! (or 12.66666666... 121 #The problem is that python automatically interprets whole numbers as integers 122 #Try and see the difference between the below examples 123 print( 3/5) 124 print(3.0/5) 125 #If you put a decimal in the number, python knows that the numbers aren't...
LAB8.DAT IS LISTED BELOW 154 -6 279 215 404 391 -166 199 -302 -469 244 0 -20 405 110 118 359 305 77 -317 -260 387 -471 -10 -332 479 213 0 -29 -440 182 -458 -429 22 -403 318 318 222 -350 160 19 473 149 300 -46 -68 325 -417 -367 -327 -109 331 303 -440 -101 27 -83 157 128 -208 -68 -485 484 -333 -394 -128 -302 -10 -161 452 420 -447 238 -231 -77 48 443 -82 483 -199 201 166 39 198 167 -322 -372 499 -329 -467 61 382 169 -310 -131 -39 482 -344 356 145 -124 -309 -72 -18 -379 90 -274 -115 83 -248 -210 117 -235 324 483 230 -156 84 -392 406 380 318 -239 94 -477 -75 -187 -339 -321 -77 -406 99 -29 196 200 139 -466 -431 -180 31 154 -92 320 218 469 31 -175 -394 111 279 -77 -409 -234 -346 -219 -60 27 -43 375 18 444 138 458 -259 176 -211 172 195 -432 -245 -276 168 344 -156 281 175 -493 102 -113 416 -499 -38 -76 -39 270 -178 285 -29 -464 -324 222 -27 -347 -159 107 -308 238 -257 417 -231 266 -311 -213 -409 76 183 47 -74 144 148 179 136 445 -291 209 -264 -381 107 -50 -41 162 270 -150 162 -84 342 333 -244 113 82 41 370 -235 -182 -381 440 146 -21 139 45 147 44 221 22 494 -281 -394 -390 -436 -95 -52 -134 264 128 272 433 473 -308 -361 196 -406 25 30 361 -15 -107 171 241 20 -152 -350 Goals: Practicing arrays and functions Create a program that will read values from a file called Lab8.dat (posted on Canvas) and store it into an array using a function other than main. The number of values in the file is less than 300 and all the values are whole numbers. The actual number of values stored in the file should be returned to the function call Your program should contain another...
QUESTION 7 The data set Beer Large, which can be found in StatCrunch Shared Data Sets, gives the Alcohol, Carbohydrates and Calories for different brands of beer. The explanatory variable is x + Carbohydrates and the response variable is Y - Calories. Use this information to answer: Calculate the correlation between carbohydrates and calories. (4 decimal places) Row vars varo var var 8 var9 var 10 2 الميا ABV 4.1 5.4 4.43 4.13 5.9 4.9 Carbs 2.6 13.7 5.8 5...
33 On May 6, Jim Ryan borrowed $14,000 from Lane Bank at 7 % interest. Jim plans to repay the loan on March 11. Assume the loan is on ordinary interest. How much will Jim repay on March 11? (Use Days in a year table) (Round your answer to the nearest cent.) Jm repay etbook 7-1 TABLE Exact days-in-a-year calendar (excluding leap year)" Day of month 30 31 30 31 28 31 30 31 31 30 31 31 Dec Mar...
data: (copy and paste in excel to view columns in alignment) Sample Repair Time (days) 1 12 2 17 3 9 4 16 5 10 6 18 7 12 8 14 9 15 10 14 11 14 12 8 13 11 14 10 15 8 16 8 17 14 18 12 19 14 20 13 21 12 22 15 23 15 24 10 25 24 26 17 27 13 28 15 29 13 30 15 31 36 32 40 33 ...