Using t test for significance of slope to determine whether

Reference no: EM13357543

Using t test for significance of slope to determine whether the independent variable is a significant predictor of the dependent variable.

Consider the simple linear regression of Y, average total sleep time per 24 hour period (ASTD) on X, age of the young child (AGE). Do not use a regression program, rather run the calculations yourself on your calculator or using an Excel spreadsheet or equivalent and determine the regression parameters and the ANOVA table applicable to the following data and then answer the following parts to question 3 and select your answers from the following choices on the test document in Blackboard..

ATST(Y) AGE(X)

566.00 4.40

461.75 14.00

491.10 10.10

565.00 6.70

462.00 11.50

532.10 9.60

477.60 12.40

515.20 8.90

493.00 11.10

528.30 7.75

575.90 5.50

532.00 8.60

530.50 7.20

What is the sum of the least squares slope and intercept parameter?

a) 475.56

b) 517.44

c) 648.78

d) 591.85

e) 622.72

Reference no: EM13357543

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