•Is regression likely useful or not useful? (Explain in 1–2 sentences each.)

•Interpret the result (direction + strength). State whether regression is suitable and why.

•Calculate r with the outlier. Remove the outlier and calculate r again.

•Compare the values and write a short paragraph on:

•How outliers affect r

•How they affect the decision to use regression.

•Q1: What do you think correlation means?

•Q2: What do you think regression is used for?

•Q3: Which of the following is the correct range of Pearson’s r?

a) 0 to 1

b) −1 to +1

c) −10 to +10

•Q4: If r = 0, what does that suggest about the relationship between two variables?

•Is the relationship likely positive, negative, or no correlation?

•Is it likely to be strong or weak?

1.Hours studied and exam marks

2.Age and number of toys owned

3.Temperature and sales of ice cream

4.Height and weight

•You are given a small dataset (e.g., height and weight).

•Individually, calculate:

•∑x,∑y,∑x y,∑x^2 ,∑y^2

•Use the formula to compute r.

•State:

•The direction (positive / negative / none).

•The strength (weak / moderate / strong).

marks, temperature vs hot drink sales, etc.).

Step 2:

Draw a quick scatter plot (rough sketch is fine).

Decide if the relationship is linear or non-linear.

Discuss if there may be outliers.

Step 3:

Predict whether Pearson’s r will be high, low, positive, or negative.

Decide: Would regression be suitable here? Why or why not?

•Spearman’s rank correlation for ordinal or non-linear relationships.

•Find a real dataset online (e.g., from sports, economics, or health):

•Identify possible pairs of variables.

•Predict whether the correlation is positive/negative/weak/strong.

•Investigate:

•How correlation is used in finance, medicine, or social science research.

•Prepare a short note or slide on one real-life example.

2.What are two assumptions required to use Pearson’s r

correctly?

3.If r=−0.8, what does that tell you about the relationship

between x and y?

4.Give one situation where regression may not be suitable.

•Q2:  One thing I understood well today was…

•Q3:  One thing I am still unsure about is…

•Q4:  One question I would like to ask about correlation or regression is…