Relationship

Scatterplot with regression line

Overlays a specified regression model on paired numeric observations.

Plot
Relationship
Model fit

What it answers

What relationship does the fitted model estimate?

Shape: XY points and fitted line
What it shows: Estimated direction, strength and departures from fit.

Example

The question

How much do weekly sales rise with each extra thousand spent on ads?

Ad spend and weekly sales, with fitted line (illustrative)

Dots for 15 weeks and a fitted straight line: on average each extra thousand euros of ad spend goes with about 2.1 thousand more sales. This shows association, not proof of cause.

Illustrative data. It belongs to no company.

When to use it

Use it when

Showing a specified fitted relationship.

Avoid it when

When extrapolation or causal interpretation is unsupported.

How to read it

Compare observed points with the regression line and inspect residual variation.

Note

State the model and any interval shown.

The data you need

Layout: Long table
Fields: X: number; Y: number
One row is: One observation with paired numeric measurements. What is the grain?
Rules: X and Y must refer to the same observation. Do not independently sort either column.
Optional: Optional ID,Group,Weight. Binning and smoothing settings belong to chart configuration.
Preparation: Fit the specified regression using appropriate observations and diagnostics; render its predictions and any valid intervals.
Units: State the unit of every coordinate/variable. A unitless transformed or standardised scale must be identified; no common denominator is assumed.

A long table: one row per observation, few columns. New data adds rows.

Worked example

Points(1,2),(2,4),(3,6). A least-squares line is Y=2X and fits these toy points exactly; real model validation requires more data.

X	Y
2	10
4	100
6	50

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