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4. Use the Bonferroni simultaneous inference approach to make CIs for the slope and intercept of the regression line for the


CH01TA01 80 399 30 121 50 221 90 376 70 361 60 224 120 546 80 352 100 353 50 157 40 160 70 252 90 389 20 113 110 435 100 420
4. Use the Bonferroni simultaneous inference approach to make CIs for the slope and intercept of the regression line for the Toluca Company data set CH0ITA01 from ALSM. Use a family error rate of 5% (or family confidence level of 95%).
CH01TA01 80 399 30 121 50 221 90 376 70 361 60 224 120 546 80 352 100 353 50 157 40 160 70 252 90 389 20 113 110 435 100 420 30 212 50 268 90 377 110 421 30 273 468 90 40 244 80 342 70 323
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QFind Open in Browser NOTE: Dependent and independent variables are not specified, so both models are fitted re (80, 30,50,9006 19html Open in Browser aFind Bonferroni Simultaneous C o 60 40 80 100 120 dist.im2 <- 1m (x v, data = deta) dist.Im2 Cali:tf Im(formula= x - y, data data) Coefficients t (Intercept) 0.2301 -1.8583 confidence, k 0.95, adjust Bonferroni, main Bonf

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