Let's study the relationship between brand, camera resolution, and internal storage capacity on the price of smartphones. Use α = .05 to perform a regression analysis of the Smartphones01CS dataset, and then answer the following questions. When you copy and paste output from MegaStat to answer a question, remember to choose to "Keep Formatting" to paste the text.a. Did you find any evidence of multicollinearity and variance inflation among the predictors. Explain your answer using a VIF analysis.b. Copy and paste the normal probability plot for your analysis. Is there any evidence that the errors are not normally distributed? Explain.c. Copy and paste the Residuals vs. Predicted Y-values. Does the pattern support the null hypothesis of constant variance for the errors? Explain.d. Study the residuals analysis. Which observations, if any, have unusual residuals?e. Study the residuals analysis. Calculate the leverage statistic. Which observations, if any, are high leverage observations? TotalStorageCameraProvidedSmartphonePriceAppleSamsung(Megapixels)(GB)Apple iPhone 12 Pro Max1100112128Apple iPhone 12 Pro100012128Apple iPhone XR5001264Apple iPhone 12 mini7001264Apple iPhone 128001264Apple iPhone 11Apple iPhone SE 202060012644001264Samsung Galaxy Note20 Ultra 5G1300108128Samsung Galaxy S21 Ultra 5GSamsung Galaxy S21+ 5G120011081281000112128Samsung Galaxy Note20 5G1000112128Samsung Galaxy S20 FE 5GSamsung Galaxy S21 5GSamsung Galaxy A52 5G70011212880011212850064128Samsung Galaxy A71 5G500164128Samsung Galaxy Z Fold2 5GSamsung Galaxy A42 5G1800112256400148128Samsung Galaxy A51400148128Samsung Galaxy A5030025128Samsung Galaxy Z Flip 5GSamsung Galaxy Z FlipOnePlus 8 Pro950112.2256120012.225670048128OnePlus 850048128OnePlus Nord N10 5G30064128OnePlus 9 Pro107048128OnePlus 8T60048128Sony Xperia 5 II90012128LG V60 ThinQ 5G65064128Google Pixel 570012.2128LG Velvet 5G60048128Sony Xperia 1 ||100012128Google Pixel 4a35012.2128Motorola One 5G Ace38048128OnePlus Nord N100LG G8X ThinQ with Dual Screen210136450012128Motorola Edge70064256Motorola Moto g power (2021)2304832Motorola Moto G Power2501664Motorola Moto g stylus (2021)28048128Motorola Moto G Stylus25048128Sony Xperia 10||LG Wing 5G4001212860064256Motorola Moto G Play1601332TCL 10L2504864Motorola Razr130016128O o o o o o

Answered: udy the relationship between brand,…

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

Let's study the relationship between brand, camera resolution, and internal storage capacity on the price of smartphones. Use α = .05 to perform a regression analysis of the Smartphones01CS dataset, and then answer the following questions. When you copy and paste output from MegaStat to answer a question, remember to choose to "Keep Formatting" to paste the text.

a. Did you find any evidence of multicollinearity and variance inflation among the predictors. Explain your answer using a VIF analysis.

b. Copy and paste the normal probability plot for your analysis. Is there any evidence that the errors are not normally distributed? Explain.

c. Copy and paste the Residuals vs. Predicted Y-values. Does the pattern support the null hypothesis of constant variance for the errors? Explain.

d. Study the residuals analysis. Which observations, if any, have unusual residuals?

e. Study the residuals analysis. Calculate the leverage statistic. Which observations, if any, are high leverage observations?

Total
Storage
Camera
Provided
Smartphone
Price
Apple
Samsung
(Megapixels)
(GB)
Apple iPhone 12 Pro Max
1100
1
12
128
Apple iPhone 12 Pro
1000
12
128
Apple iPhone XR
500
12
64
Apple iPhone 12 mini
700
12
64
Apple iPhone 12
800
12
64
Apple iPhone 11
Apple iPhone SE 2020
600
12
64
400
12
64
Samsung Galaxy Note20 Ultra 5G
1300
108
128
Samsung Galaxy S21 Ultra 5G
Samsung Galaxy S21+ 5G
1200
1
108
128
1000
1
12
128
Samsung Galaxy Note20 5G
1000
1
12
128
Samsung Galaxy S20 FE 5G
Samsung Galaxy S21 5G
Samsung Galaxy A52 5G
700
1
12
128
800
1
12
128
500
64
128
Samsung Galaxy A71 5G
500
1
64
128
Samsung Galaxy Z Fold2 5G
Samsung Galaxy A42 5G
1800
1
12
256
400
1
48
128
Samsung Galaxy A51
400
1
48
128
Samsung Galaxy A50
300
25
128
Samsung Galaxy Z Flip 5G
Samsung Galaxy Z Flip
OnePlus 8 Pro
950
1
12.2
256
1200
12.2
256
700
48
128
OnePlus 8
500
48
128
OnePlus Nord N10 5G
300
64
128
OnePlus 9 Pro
1070
48
128
OnePlus 8T
600
48
128
Sony Xperia 5 II
900
12
128
LG V60 ThinQ 5G
650
64
128
Google Pixel 5
700
12.2
128
LG Velvet 5G
600
48
128
Sony Xperia 1 ||
1000
12
128
Google Pixel 4a
350
12.2
128
Motorola One 5G Ace
380
48
128
OnePlus Nord N100
LG G8X ThinQ with Dual Screen
210
13
64
500
12
128
Motorola Edge
700
64
256
Motorola Moto g power (2021)
230
48
32
Motorola Moto G Power
250
16
64
Motorola Moto g stylus (2021)
280
48
128
Motorola Moto G Stylus
250
48
128
Sony Xperia 10||
LG Wing 5G
400
12
128
600
64
256
Motorola Moto G Play
160
13
32
TCL 10L
250
48
64
Motorola Razr
1300
16
128
O o o o o o

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution

Step 1

Hi! Thank you for the question, As per the honor code, we are allowed to answer three sub-parts at a time so we are answering the first three as you have not mentioned which of these you are looking for. Please re-submit the question separately for the remaining sub-parts.

Given:

The data given is as follows

Serial no	Price	Apple	Samsung	Megapixels	GB
1	1100	1	0	12	128
2	1000	1	0	12	128
3	500	1	0	12	64
4	700	1	0	12	64
5	800	1	0	12	64
6	600	1	0	12	64
7	400	1	0	12	64
8	1300	0	1	108	128
9	1200	0	1	108	128
10	1000	0	1	12	128
11	1000	0	1	12	128
12	700	0	1	12	128
13	800	0	1	12	128
14	500	0	1	64	128
15	500	0	1	64	128
16	1800	0	1	12	256
17	400	0	1	48	128
18	400	0	1	48	128
19	300	0	1	25	128
20	950	0	1	12.2	128
21	1200	0	1	12.2	128
22	700	0	0	48	128
23	500	0	0	48	128
24	300	0	0	64	128
25	1070	0	0	48	128
26	600	0	0	48	128
27	900	0	0	12	128
28	650	0	0	64	128
29	700	0	0	12.2	128
30	600	0	0	48	128
31	1000	0	0	12	128
32	350	0	0	12.2	128
33	380	0	0	48	128
34	210	0	0	13	64
35	500	0	0	12	128
36	700	0	0	64	256
37	230	0	0	48	32
38	250	0	0	16	64
39	280	0	0	48	128
40	250	0	0	48	128
41	400	0	0	12	128
42	600	0	0	64	256
43	160	0	0	13	32
44	250	0	0	48	64
45	1300	0	0	16	128

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