This report presents an analysis of a dataset representing the amount of money spent on transport over ten months. The report begins with a table and graphical representation of the data, followed by a descriptive statistical analysis including the calculation and interpretation of mean, median, mode, range, and standard deviation. The report then employs a linear forecasting model to estimate transport spending for the 14th and 16th months, calculating the values of 'm' and 'c' to project future spending. The analysis incorporates relevant references to support the findings and conclusions drawn from the dataset, highlighting the application of data analysis and forecasting techniques in real-world scenarios. The report provides a detailed breakdown of each step in the analysis, offering clear interpretations of the results and their implications.
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