filling out the sheet and solving the problem 

# Let's start by examining the contents of each sheet to determine what needs to be filled out and solved.
# I'll load and preview the first few rows of each sheet.

sheets = {}
for sheet in sheet_names:
    sheets[sheet] = pd.read_excel(excel_data, sheet_name=sheet)

# Display the first few rows of each sheet to analyze the data and instructions
sheets_preview = {sheet: data.head() for sheet, data in sheets.items()}
sheets_previewHere's an overview of the contents from each sheet:

1. **Goals and Instructions**: Contains instructions on how to create scatter plots and trendlines, likely for analyzing data in the "Linear Fit" sheet.
2. **Linear Fit**: Includes instructions on finding the slope and intercept of a best-fit line, along with spaces for entering names and calculations.
3. **GradeSheet**: Appears to be a grading sheet but has data that needs to be analyzed.
4. **Random**: Contains numerical data in a table format.
5. **Sheet1**: Appears to contain some instructions, but they are not clear.

To assist with filling out the sheet and solving the problem, it would be best to start with the "Linear Fit" sheet. This likely involves calculating the slope and intercept of a best-fit line for a set of data points.

Would you like to proceed with analyzing the "Linear Fit" sheet to find the slope and intercept, or is there a specific part of the assignment you'd like to focus on first?

Explore how to analyze the Linear Fit sheet by calculating the slope and intercept of a best-fit line. This problem involves understanding linear regression and scatter plots, suitable for students in Grades 9-12.

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