STAT170 Workshop Notes prepared by Nan Carter for Numeracy ...

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Relation: Survey of stores outcome: sales df: 8 predictor coeff SE t p-value 95% C.I. constant 60.0000 9.226 6.5033 0.000 38.725 81.275 no. of students 5.0000 0.580 8.6167 0.000 3.662 6.338 r-sq: 0.903 Resid SS: 1530.000 s: 13.829 Fitted line: sales = 60 + 5 no. of students sales 220 200 180 160 140 120 100 80 60 40 Residual 20 15 10 5 0 -5 -10 -15 -20 26 Survey of stores 0 10 20 no. of students Normal Scores Plot -25 -30 p = 00.65 -1.5 -1 -0.5 0 0.5 1 1.5 normal score Nan Carter: workshop notes prepared for Numeracy Centre Macquarie University. 30
Residual 20 15 10 5 0 -5 -10 -15 -20 -25 EXERCISE 1. The relationship between production level and price of bananas. The following sample data have been collected over a period of twenty years for Queensland bananas: Production 000s cases (X) 27 Residuals vs Fitted -30 60 110 160 Fitted value Price $ per case (Y) Production 000s cases (X) 32.0 1.27 38.3 0.57 29.0 0.63 37.4 0.89 33.0 0.26 31.1 0.98 30.2 0.67 35.2 1.04 24.2 1.79 30.5 1.05 33.2 0.94 31.6 0.96 36.0 0.52 35.0 0.67 32.5 0.76 30.0 1.24 42.0 0.49 26.3 2.24 34.8 0.63 31.9 1.47 Nan Carter: workshop notes prepared for Numeracy Centre Macquarie University. Price $ per case (Y) a) plot the data on a scatterplot and comment on the display. b) Given that X-bar = 32.71, sX = 4.08681, Y-bar = 0.9535, SS XY = -24.5867, find the equation of the regression line. c) Draw the regression line on the scatterplot.
Page 1 and 2: STAT170 Workshop Notes prepared by
Page 3 and 4: Week 4 H/Y. Exercises for STAT170 w
Page 5 and 6: Week 5 H/Y. Questions on SAMPLING D
Page 7 and 8: EXAMPLES ON WORKING WITH PROPORTION
Page 9 and 10: EXERCISE 4. Suppose we wanted to pl
Page 11 and 12: We now have a single sample of diff
Page 13 and 14: Week 8 H/Y. STAT170 workshop on the
Page 15 and 16: Week 9 H/Y. Stat170 workshop on Hyp
Page 17 and 18: EXERCISE 11: In Q5 use a hypothesis
Page 19 and 20: PAIRED t-TEST: QUESTION 1. (from St
Page 21 and 22: QUESTION 4. “You can taste the lu
Page 23 and 24: sp =√[{(n1-1)s1 2 + (n2-1)s2 2 }
Page 25: a) Draw the scatterplot of the data
Page 29 and 30: Residual Residual 1 0.8 0.6 0.4 0.2
Page 31 and 32: Relation: Monthly sales volume outc
Page 33 and 34: Unstandardized Residual 33 40 20 0
Page 35 and 36: mid-year exam paper (See below: the
Page 37 and 38: if the hypothesis is true. FOR EXAM
Page 39 and 40: sandwich, only 4 became ill. We wou
Page 41 and 42: Notice that a) 3.89 = 1/0.26, so if

STAT170 Workshop Notes prepared by Nan Carter for Numeracy ...

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