theres one missing row above 1376 and here is the missing row Sorry! Step 1 of 2
ID: 3070190 • Letter: T
Question
theres one missing row above 1376 and here is the missing row Sorry!
Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
Step 2 of 2 : Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01
level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant.
7/16 Correct uestion 5 of 9, Step 2 of 2 1376 1152 2030 2660 2782 1662 1269 2901 11 227800 5 160100 2 158300 6 222200 3 221500 3 288200 151900 3 247500 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 level of significance. iIf the relationship is statistically significant identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant. Tables Keypad Answer How to enter your answer Previous Step Answer Selecting a checkbox will replace the entered answer valuets) with the checkbox value. If the checkbox is not selected, the entered answer is used. O There is not enough evidence Submit AnswerExplanation / Answer
( please revert if any other information given above: selling price is depednent variable)
applying multiple linear regression:
step 1: p value =0.5661
setp 2: there is not enough evidence as p value is greater than 0.01 level
df SS MS F Significance F Regression 3 5460785353 1.82E+09 0.752865 0.566129 Residual 5 12088894647 2.42E+09 Total 8 17549680000 Coefficients Standard Error t Stat P-value Intercept 101505.4262 112179.191 0.904851 0.407029 X Variable 1 18.51021259 27.93170739 0.662695 0.536848 X Variable 2 21520.22707 22249.68757 0.967215 0.377859 X Variable 3 -2475.036552 4257.23475 -0.58137 0.586212Related Questions
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