Q q q q qq q q q q qqq q qq q qq q q q qqqqqqqq qq qq

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Unformatted text preview: qqq q q q qqq q q q qq qqqq q qq q q qqq q q q q q q qqqqqqqqqqqqq qqq q q q q qqq q q q q qqqqqqqqqqqqqq q q qqqqqqqqqqqq qq q qq q q q qqqqqq qqqqqqq qq qq qqqqqqq qqqq q qqqqqqqqq qqq q q qqqqqqqqqqq qq q q q q qqqqqqqqqq qq qq q q qq q qq q q q q q qqqqqqqqq qqq q q qq qqqqq q q qq q q q q q qqqqqq qqqqqqq qq q qq q q q q qq qqq qqq q q qq qq qq q q qq q q q q qq q q q qq q q qqqqqqqqqqq qqqqq qq qq q qq q qqq q q qqqq q q qq q q qq q q q q q qqqqqqq qqqq qqqq qq q q qqq q qqq qqqq qq q q q q qq q q q q qqq q qq q qq q q q qqqqqqqq qq qq qq q q q q q qq q q qqqqqqqq q q qq qqqqq q q qq qqqq qq q q q q qq q q q q q q q qq qq q q q qq q q qqq q q q q q q q qq q qqq q q q q q qq q q qq q q q q q qq q qqqqqqqqqq q q q q q qqqq qqq q qqq qq q q q qq qq q qqq q q q q q qq q qqqq q qqq qq q q qq q q q q q q q qq qq q q q q q q qq q qq q q qqq q qq q q qq q q qq q q qq qqq q q qqq q q qq qq q q qq q qq q q q q q q q qq q q qq q q qq q q 120 q 100 q 60 80 wt[gestation < 999] 140 160 q q qq q q q q q q q 150 200 250 gestation[gestation < 999] 23 300 350 Simple Linear Regression: Summary Call: lm(formula = wt ~ gestation, data = babies, subset = gestation < 999) Residuals: Min 1Q Median 3Q Max -49.394 -11.125 0.071 10.106 57.353 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intcept) -10.06418 8.32220 -1.209 0.227 gestation 0.46426 0.02974 15.609 <2e-16 *** --Signif. codes: 0 ’***’ 0.001 ’**’ 0.01 ’*’ 0.05 ’.’ 0.1 ’ ’ 1 Resid. stand. error: 16.66 on 1...
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This note was uploaded on 02/25/2014 for the course STAT 302 taught by Professor Fritz during the Winter '13 term at University of Washington.

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