From a survey of the clerical employees of a large financial organization, the data are aggregated from the questionnaires of the approximately 35 employees for each of 30 (randomly selected) departments. The numbers give the percent proportion of favourable responses to seven questions in each department.
A data frame with 30 observations on 7 variables. The first column are the short names from the reference, the second one the variable names in the data frame:
|X||complaints||numeric||Handling of employee complaints|
|X||privileges||numeric||Does not allow special privileges|
|X||learning||numeric||Opportunity to learn|
|X||raises||numeric||Raises based on performance|
Chatterjee, S. and Price, B. (1977) Regression Analysis by Example. New York: Wiley. (Section 3.7, p.68ff of 2nd ed.(1991).)
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require(stats); require(graphics) pairs(attitude, main = "attitude data") summary(attitude) summary(fm1 <- lm(rating ~ ., data = attitude)) opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0), mar = c(4.1, 4.1, 2.1, 1.1)) plot(fm1) summary(fm2 <- lm(rating ~ complaints, data = attitude)) plot(fm2) par(opar)
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