Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information. Family Food Income Size 1 $ 6.16 $ 73.98 5 2 4.08 54.90 2 3 5.76 124.25 4 4 3.48 52.02 1 5 4.20 65.70 2 6 4.80 53.64 4 7 4.32 79.74 3 8 5.04 68.58 4 9 6.12 165.60 5 10 3.24 64.80 1 11 4.80 138.42 3 12 3.24 125.82 1 13 5.31 77.58 7 14 4.72 121.87 8 15 6.60 96.76 8 16 5.40 141.30 3 17 6.00 36.90 5 18 5.40 56.88 4 19 3.36 71.82 1 20 4.68 69.48 3 21 4.32 54.36 2 22 5.52 87.66 5 23 4.56 38.16 3 24 5.40 43.74 7 25 7.36 44.83 2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Many regions in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years. This has motivated many of the large grocery store chains to build new stores in the region. The Kelley’s Super Grocery Stores Inc. chain is no exception. The director of planning for Kelley’s Super Grocery Stores wants to study adding more stores in this region. He believes there are two main factors that indicate the amount families spend on groceries. The first is their income and the other is the number of people in the family. The director gathered the following sample information.

Family	Food	Income	Size
1		$	6.16	$	73.98	5
2			4.08		54.90	2
3			5.76		124.25	4
4			3.48		52.02	1
5			4.20		65.70	2
6			4.80		53.64	4
7			4.32		79.74	3
8			5.04		68.58	4
9			6.12		165.60	5
10			3.24		64.80	1
11			4.80		138.42	3
12			3.24		125.82	1
13			5.31		77.58	7
14			4.72		121.87	8
15			6.60		96.76	8
16			5.40		141.30	3
17			6.00		36.90	5
18			5.40		56.88	4
19			3.36		71.82	1
20			4.68		69.48	3
21			4.32		54.36	2
22			5.52		87.66	5
23			4.56		38.16	3
24			5.40		43.74	7
25			7.36		44.83	2

Click here for the Excel Data File

Food and income are reported in thousands of dollars per year, and the variable size refers to the number of people in the household.

a-1. Develop a correlation matrix. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

a-2. Do you see any problem with multicollinearity?

b-1. Determine the regression equation. (Round your answer to 3 decimal places.)

b-2. How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.)

c-1. What is the value of R²? (Round your answer to 3 decimal places.)

c-2. Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 4 decimal places and F to 2 decimal places.)

c-3. State the decision rule for 0.05 significance level. H₀: = β₁ = β₂ = 0; H₁: Not all β_i's = 0. (Round your answer to 2 decimal places.)

c-4. Can we reject H₀: = β₁ = β₂ = 0?

d-1. Complete the table given below. (Leave no cells blank - be certain to enter "0" wherever required. Round Coefficient, SE Coefficient, p-value to 3 decimal places and t to 2 decimal places.)

d-2. Would you consider deleting either of the independent variables?

e. State true or false.

From the graph the residuals appear normally distributed.

multiple choice 1