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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
First explain what the Gini coefficient is and what hypothetical Gini values of 0 and 1 mean. Sort the data by the Gini coefficient in 2000 and look at the list of countries.
Indicate which would be the independent variable and which would be the dependent variable in each of the following:
Carry out test of independence to find out whether employee health insurance coverage is independent of size of company. Use α = 0.05 level of significance.
We recalculated our comparison of ideal number of children, this time only for women, separating them into two groups, those who indicated that they were "very happy" or "not at all happy" with life.
The intelligence Quotient test scores normally distributed with a mean of 100 and a standard deviation of 15.
Find out sample standard deviation (s) of scores Gordon Golfer made on his last four rounds (determine to the nearest one tenth, or .1).
The new study is going to use the confidence level of 90%. The estimator or appreciative must be in 1% of the population proportion. Which is the necessary size of the sample?
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
Assume the likelihood that any flight on Northwest Airlines arrives within 15 minutes of the scheduled time is 0.90. We choose four flights from yesterday for study.
Write all the possible samples of size 2 and calculate the average or median of each one.
I want to establish if a new product is worth marketing. At least 85 percent of the public must express interest in the product and for those that do the average cost they are willing to pay must be at least $47.50.
Note that Σ x = 2233 and Σ x 2 = 138,053. At the 5% level of significance, can the instructor conclude that the new mean is different from 64?
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