The following sample observations were randomly selected. (Round your answers to 2 decimal places.) |
X: |
4 |
5 |
3 |
6 |
10 |
Y: |
10.8 |
12.6 |
8 |
14.4 |
19.6 |
a. | The regression equation is Yˆ Y^ = + X |
b. | When X is 7 this gives Yˆ Y^ = |
The following sample observations were randomly selected. (Round your answers to 2 decimal places.) X: 4...
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) X: y : 3 3 5 6 3 5 6 7 7 7 Click here for the Excel Data File + a. The regression equation is ý = b. When x is 6 this gives y =
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 4 6 4 &Click here for the Excel Data File a. The regression equation is y- When X is 5 this gives y =
The following sample observations were randomly selected: (Round the final answers to 4 decimal places.) X: 16 14 9 17 12 11 20 18 Y: 14 21 1 13 11 16 14 15 a. Determine the 95% confidence interval for the mean predicted when X = 6. b. Determine the 95% prediction interval for an individual predicted when X = 6.
The following sample observations were randomly selected: 1 2 3 4 5 X: 17 4 2 7 6 Y: 13 25 6 15 15 a. Determine the regression equation. (Negative answer should be indicated by a minus sign. Do not round intermediate calculations. Round the final answers to 4 decimal places.) b = a = Y' = + X b. Determine the value of Y' when X is 13. (Do not round intermediate calculations. Round the final...
The following sample observations were randomly selected. (Do not round the intermediate values. Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) Y: a. Determine the 0.9 confidence interval for the mean predicted when x- 4 b. Determine the 0.9 prediction interval for an individual predicted whenx4
1. The following sample observations were randomly selected: X: 4 3 6 128 Y: 4 6 5 7a7129 Determiner and r?. Determine the regression equation. Determine Sand Sy. Draw the scatter diagram. At the .05 significance level, is the correlation in the population greater than zero? (Say what the hypotheses are, what the test statistic is, what the critical value(s) is (are), what your decision is regarding the null hypothesis.) оу 4 У 4 5 6 3 5 6 7...
Exercise 2: The following sample observations were randomly selected. X Y 5 13 3 15 6 7 3 12 4 13 4 11 6 9 8 5 a. Insert the trendline equation. b. Determine the coefficient of correlation and the coefficient of determination.
Step 1 of 6: Find the estimated slope. Round your answer to three decimal places Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Step 3 of 6: Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false. Step 4 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated...
(Round all intermediate calculations to at least 4 decimal places.) The following observations were obtained when conducting a two-way ANOVA experiment with no interaction. Use Table 4 lick here for the Excel Data File Factor A Factor B 4 4 6 J for Factor B 2.750 6.000 9.250 X 6.000 2 2 8 5.333 10 6.000 X, for Factor A 6.000 6.667 a. Calculate SST, SSA, SSB, and SSE. (Round your answers to 2 decimal places.) SST SSA SSB SSE...
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...