Jj.txt -

The plot shows a clear upward trend and increasing variability, suggesting multiplicative seasonality. 3. Data Transformation (Logarithm)

# 1. Load the data jj_data <- read.table("path/to/jj.txt", header=TRUE) # 2. Convert to time series object (starting Q1 1960, frequency 4) jj_ts <- ts(jj_data, start=c(1960, 1), frequency=4) # 3. Make a time plot plot(jj_ts, type="l", main="J&J Quarterly Earnings", ylab="Earnings (USD)", xlab="Year") Use code with caution. Copied to clipboard JJ.txt

Quarterly earnings per share for Johnson & Johnson. Timeframe: 1960 to 1980 (84 quarters/21 years). The plot shows a clear upward trend and

Q1. The dataset jj.txt contains quarterly earnings | Chegg.com JJ.txt

A text file used in FileWriter operations for storing logs.