Mary Susan is the store manager at Sweet Jesus, an ice-cream store in Vancouver. Mary is trying to predict how many ice-cream cones she can sell next week, so that she can stock up the ingredients and cones accordingly to avoid an out-of-stock situation.

From her past experience, ice-cream consumption is affected by 3 major factors: temperature, rain, and wind. She collected such data from the week before:

Temperature (C) Rain (mm) Wind (km/h) Ice-cream(cones)

Sunday 8 1 10 100

Monday 10 2 12 130

Tuesday 3 20 10 20

Wednesday -3 0 8 70

Thursday -9 2 8 15

Friday -2 1 10 60

Saturday 0 0 40 50

She checked the weather forecast for next week and received the following information. Now, use your MRK455 knowledge about simple linear regression to help Mary to figure out how many cones she will sell everyday next week:

Temperature (C) Rain (mm) Wind (km/h) Ice-cream(cones)

Sunday 2 1 45 ?

Monday 0 2 10 ?

Tuesday 3 1 10 ?

Wednesday -8 0 8 ?

Thursday -15 2 8 ?

Friday -3 1 10 ?

Saturday 5 20 10 ?

Answer: Mary will probably sell

_______ cones next Sunday

_______ cones next Monday

_______ cones next Tuesday

_______ cones next Wednesday

_______ cones next Thursday

_______ cones next Friday

_______ cones next Saturday

Answer the question and include a screenshot of SPSS output