(a) Compute the least-squares regression line. Round the answers to at least four decimal places. Regression line equation: = X 5
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- The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.Which of the following does not need to be computed to determine a simple regression line? SSx SP "Y-hat" SSyCompute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y intercept to at least four decimal places. x 5 7 6 2 1 y 4 3 2 5 1 Regression line equation: =
- Compute the least-squares regression equation for the given data set. Round the slope and y-intercept to at least four decimal places. 2 4 7 6 6 5 3 3 4 2Use the following data for parts (a) through (e). x 5 7 3 16 12 9 y 8 9 11 27 15 13 Determine the equation of the least squares regression line to predict y by x. y^ = (value rounded to 4 decimal places ?) + (value rounded to 4 decimal places ?) xCompute the least-squares regression equation for the given data set. Use a TI-84 calculator. Round the slope and y-Intercept to at least four decimal places.
- Compute the least-squares regression line for predicting y from x given the following summary statistics. Round the slope and y -intercept to at least four decimal places. =x8.2 =sx3 =y1350 =sy13,000 =r0.40A company trains its employees with instructional videos and claims that the amount of time, in hours, spent training is linearly related to an increase in productivity. The company selected a random sample of five employees to test its claim. The data were used to create the computer output for a least-squares linear regression, shown in the table. Variable DF Estimate SE Intercept 1 3.6 1.1489 Hours 1 0.8 0.3464 Which of the following is the correct test statistic and number of degrees of freedom? t=2.31 with 4 degrees of freedom A t=2.31 with 3 degrees of freedom B t=2.31 with 5 degrees of freedom C t=3.13 with 1 degree of freedom D t=3.13 with 3 degrees of freedom EThe following model was fitted to a sample of 30 families in order to explain household milk consumption:y = b0 + b1x1 + b2x2 + ε wherey = milk consumption, in quarts per weekx1 = weekly income, in hundreds of dollarsx2 = family sizeThe least squares estimates of the regression parameters were as follows:b0 = -0.025 b1 = 0.052 b2 = 1.14Predict the weekly milk consumption of a family of four with an income of $600 per week.
- Which of the multivariate regression parameters listed below would be best interpreted as: the predicted value on the dependent variable when all of the independent variables in the model are equal to zero. a b1 X1 R2For a sample of 15 trees, the volume of lumber (y) (in cubic meters) and the diameter (x) (in centimeters) at a fixed height above ground level was measured. The following summary statistics were obtained: x̄ = 35.2 sx = 8.9 ȳ = 0.78 sy = 0.48 r = 0.95 a) Compute the least-squares regression line for predicting volume from diameter. B)Predict the volume for a tree whose diameter is 42 centimetersA seafood-sales manager collected data on the maximum daily temperature, T, and the daily revenue from salmon sales, R, using sales receipts for 30 days selected at random. Using the data, the manager conducted a regression analysis and found the least-squares regression line to be Rˆ=126+2.37T. A hypothesis test was conducted to investigate whether there is a linear relationship between maximum daily temperature and the daily revenue from salmon sales. The standard error for the slope of the regression line is SEb1=0.65. Assuming the conditions for inference have been met, which of the following is closest to the value of the test statistic for the hypothesis test? t=0.274 A t=0.65 B t=1.54 C t=3.65 D t=193.85 E