Find the estimated y intercept and slope and write the


Essay type

1. Test H0: μ ≤ 8 versus HA: μ > 8, at α = 0.05 and 0.01, given n = 25, X ¯ = 8.07 and s = 0.16. Assume the sample is selected from a normally distributed population.

2. Test H0: Π = 0.2 versus H1: Π ≠ 0.2 with p = 0.28 and n = 100 at alpha = 0.05.

3. Test at α =.05 and 0.10 the hypothesis that a majority (more than 50%) of students favor the plus/minus grading system at a university if in a random sample of 500 students, 265 favor the system?

4. Consumer Reports provided extensive testing and ratings for more than 100 HDTVs. An overall score, based primarily on picture quality, was developed for each model. In general, a higher overall score indicates better performance. The following (hypothetical) data show the price and overall score for the ten 42-inch plasma televisions (Consumer Report data slightly changed here):

Brand

Price

Score

Dell

2800

60

Hisense

2800

55

Hitachi

2700

45

JVC

3500

50

LG

3300

55

Maxent

2000

38

Panasonic

4000

67

Phillips

3000

56

Proview

2500

32

Samsung

3000

40

Use the above data to develop and estimated regression equation. Compute Coefficient of Determination and correlation coefficient and show their relation. Interpret the explanatory power of the model. Estimate the overall score for a 42-inch plasma television with a price of $3800.

5. An experiment was performed on a certain metal to determine if the strength is a function of heating time (hours). Results based on 20 metal sheets are given below. Use the simple linear regression model.

∑X = 40
∑X2 = 200
∑Y = 70
∑Y2 = 545
∑XY = 300

Find the estimated y intercept and slope and write the equation of the least squares regression line. Estimate Y when X is equal to 3 hours. Also determine the standard error, the Mean Square Error, the coefficient of determination and the coefficient of correlation and check the relation between coefficient of correlation and coefficient of determination. Finally, perform the test of significance of the slope coefficient.

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Applied Statistics: Find the estimated y intercept and slope and write the
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