Conduct simple linear regression analyses relating each predictor to Glucose using the Regression tool in the Data Analysis toolpak  The data is provided below. Thank you! GLUCOSE AGE SEX SYSBP TOTCHOL CURSMOKE DIABETES 77 39 1 106 195 0 0 76 46 2 121 250 0 0 70 48 1 127.5 245 1 0 103 61 2 150 225 1 0 85 46 2 130 285 1 0 99 43 2 180 228 0 0 85 63 2 138 205 0 0 78 45 2 100 313 1 0 79 52 1 141.5 260 0 0 88 43 1 162 225 1 0 76 50 2 133 254 0 0 61 43 2 131 247 0 0 64 46 1 142 294 1 0 84 41 2 124 332 0 0   39 2 114 226 1 0 70 38 2 140 221 1 0 72 48 1 138 232 1 0 89 46 2 112 291 1 0 78 38 2 122 195 1 0 65 41 1 139 195 0 0 85 42 2 108 190 1 0   43 2 123.5 185 0 0 113 52 2 148 234 0 0 75 52 2 132 215 1 0 83 44 1 137.5 270 1 0 66 47 1 102 294 1 0   60 2 110 260 0 0 83 35 1 132 225 1 0 65 61 2 182 272 0 0 74 60 2 130 247 0 0 63 36 1 102 295 1 0 75 43 1 115 226 1 0 79 40 1 125 227 0 0 88 59 2 150 209 0 0 75 61 1 134 175 1 0 73 62 1 125 235 0 0 87 54 1 147 214 1 0 83 37 1 124.5 225 0 0 75 56 1 153.5 257 0 0 225 52 1 160 178 0 1 90 42 2 153 233 1 0 80 36 1 111 180 0 0 78 43 2 116.5 243 1 0 74 41 2 122 237 1 0   52 2 148   0 0 100 54 1 132 195 0 0 215 53 2 206 311 0 1 98 49 2 96 208 0 0 87 65 2 179.5 252 0 0 74 46 1 119 261 1 0 75 63 2 116 179 1 0 62 36 1 139 194 1 0 79 63 2 156.5 267 1 0 95 51 1 112 216 0 0 75 47 2 130 237 1 0 75 62 2 145 240 0 0   39 2 115 209 1 0 94 46 2 116 250 1 0 55 54 2 114 266 1 1 80 49 1 143.5 255 1 0 82 44 1 115 185 0 0 87 40 2 158 205 1 0 93 56 1 121 270 1 0 74 67 2 157 254 0 0 73 53 1 123.5 220 1 0 72 57 2 126.5 235 1 0 64 57 1 136 220 0 0 45 63 2 154 252 0 0 202 62 2 190 212 0 1 78 38 1 107 223 1 0 83 47 2 112.5 300 1 0 87 52 2 110 302 0 0   63 2 164.5 248 0 0 95 42 1 116 175 1 0 87 37 2 119 200 0 0 75 41 2 150 189 1 0 83 44 2 110 221 1 0 103 59 2 138.5 258 0 0 68 44 2 155 202 0 0 89 44 2 115 213 1 0 63 45 2 151 183 0 0 65 41 1 152 274 1 0 83 60 1 179 170 1 0 70 39 1 155 285 0 0 87 53 2 138 210 0 0 82 52 2 124 170 1 0 83 61 2 182 210 0 0 65 36 2 113 197 1 0 77 62 2 138 261 0 0 78 61 2 200 326 1 0 70 41 1 124 252 1 0 195 62 1 117.5 286 1 1 76 41 1 121 274 0 0 75 53 1 138 188 1 0 97 39 1 132.5 256 1 0 77 51 2 102 244 0 0 104 66 2 154 311 0 0 77 52 1 136 288 1 0 65 60 1 126 243 1 0

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Identify whether this statement is True or False and provide justification for your answer. “A positive correlation between attitude and intention will always result in a significant effect between the two variables in regression analysis.”

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PLEASE ANSWER 4,5 AND 6

Using the data in the Excel spreadsheet "auto.xlsx", estimate a regression to answer the following question. A 1 inch increase in LENGTH corresponds to a _________________ increase in MPG (miles per gallon). Use negative values if it results in a decreased price. Round your answers to two decimals. make price mpg rep78 headroom trunk weight length turn displacement gear_ratio foreign AMC Concord 4,099 22 3 3 11 2,930 186 40 121 3.58 Domestic AMC Pacer 4,749 17 3 3 11 3,350 173 40 258 2.53 Domestic AMC Spirit 3,799 22   3 12 2,640 168 35 121 3.08 Domestic Buick Century 4,816 20 3 5 16 3,250 196 40 196 2.93 Domestic Buick Electra 7,827 15 4 4 20 4,080 222 43 350 2.41 Domestic Buick LeSabre 5,788 18 3 4 21 3,670 218 43 231 2.73 Domestic Buick Opel 4,453 26   3 10 2,230 170 34 304 2.87 Domestic Buick Regal 5,189 20 3 2 16 3,280 200 42 196 2.93 Domestic Buick Riviera 10,372 16 3 4 17 3,880 207 43 231 2.93 Domestic Buick Skylark 4,082 19 3 4 13 3,400 200 42 231…

Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF MS F P Regression Residual 76501718347 25500572782 *** **** Error 96 60109046053 626135896 Total 99 d) Is y significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term “R-sq" and comment on its value.