Regression Analysis

2 minutes
Share the link to this page
Copied
  Completed
You need to have access to the item to view this lesson.
One-time Fee
$49.99
List Price:  $69.99
You save:  $20
€43.39
List Price:  €60.75
You save:  €17.36
£37.56
List Price:  £52.59
You save:  £15.02
CA$69.25
List Price:  CA$96.95
You save:  CA$27.70
A$72.51
List Price:  A$101.52
You save:  A$29.01
S$64.32
List Price:  S$90.06
You save:  S$25.73
HK$391.50
List Price:  HK$548.14
You save:  HK$156.63
CHF 39.85
List Price:  CHF 55.80
You save:  CHF 15.94
NOK kr484.15
List Price:  NOK kr677.85
You save:  NOK kr193.70
DKK kr324.26
List Price:  DKK kr453.99
You save:  DKK kr129.73
NZ$86.65
List Price:  NZ$121.32
You save:  NZ$34.67
د.إ183.58
List Price:  د.إ257.03
You save:  د.إ73.45
৳6,124.36
List Price:  ৳8,574.59
You save:  ৳2,450.23
₹4,734.42
List Price:  ₹6,628.57
You save:  ₹1,894.14
RM200.60
List Price:  RM280.86
You save:  RM80.26
₦69,152.16
List Price:  ₦96,818.56
You save:  ₦27,666.40
₨13,933.81
List Price:  ₨19,508.44
You save:  ₨5,574.63
฿1,644.27
List Price:  ฿2,302.11
You save:  ฿657.84
₺2,220.89
List Price:  ₺3,109.43
You save:  ₺888.53
B$261.90
List Price:  B$366.68
You save:  B$104.78
R856.71
List Price:  R1,199.46
You save:  R342.75
Лв84.87
List Price:  Лв118.83
You save:  Лв33.95
₩75,352.48
List Price:  ₩105,499.50
You save:  ₩30,147.02
₪157.21
List Price:  ₪220.11
You save:  ₪62.89
₱3,024.94
List Price:  ₱4,235.16
You save:  ₱1,210.22
¥7,991.77
List Price:  ¥11,189.12
You save:  ¥3,197.35
MX$899.88
List Price:  MX$1,259.91
You save:  MX$360.02
QR182.01
List Price:  QR254.82
You save:  QR72.81
P686.31
List Price:  P960.89
You save:  P274.58
KSh6,498.70
List Price:  KSh9,098.70
You save:  KSh2,600
E£2,634.53
List Price:  E£3,688.56
You save:  E£1,054.02
ብር7,713.84
List Price:  ብር10,799.99
You save:  ብር3,086.15
Kz45,597.42
List Price:  Kz63,840.04
You save:  Kz18,242.62
CLP$46,410.21
List Price:  CLP$64,978.01
You save:  CLP$18,567.80
CN¥345.33
List Price:  CN¥483.49
You save:  CN¥138.16
RD$3,009.15
List Price:  RD$4,213.06
You save:  RD$1,203.90
DA6,653.30
List Price:  DA9,315.15
You save:  DA2,661.85
FJ$112.32
List Price:  FJ$157.26
You save:  FJ$44.94
Q381.86
List Price:  Q534.64
You save:  Q152.77
GY$10,442.59
List Price:  GY$14,620.47
You save:  GY$4,177.87
ISK kr6,231.75
List Price:  ISK kr8,724.95
You save:  ISK kr2,493.20
DH466.02
List Price:  DH652.47
You save:  DH186.44
L878.10
List Price:  L1,229.41
You save:  L351.31
ден2,675.01
List Price:  ден3,745.23
You save:  ден1,070.22
MOP$402.20
List Price:  MOP$563.12
You save:  MOP$160.91
N$853.87
List Price:  N$1,195.48
You save:  N$341.61
C$1,836.75
List Price:  C$2,571.60
You save:  C$734.84
रु7,525.23
List Price:  रु10,535.92
You save:  रु3,010.69
S/172.74
List Price:  S/241.85
You save:  S/69.11
K215.68
List Price:  K301.97
You save:  K86.29
SAR187.54
List Price:  SAR262.58
You save:  SAR75.03
ZK937.11
List Price:  ZK1,312.03
You save:  ZK374.91
L221.20
List Price:  L309.70
You save:  L88.50
Kč1,064.38
List Price:  Kč1,490.22
You save:  Kč425.83
Ft16,887.77
List Price:  Ft23,644.23
You save:  Ft6,756.45
SEK kr471.41
List Price:  SEK kr660.02
You save:  SEK kr188.60
ARS$68,385.75
List Price:  ARS$95,745.53
You save:  ARS$27,359.77
Bs345.67
List Price:  Bs483.97
You save:  Bs138.29
COP$184,089.77
List Price:  COP$257,740.40
You save:  COP$73,650.63
₡23,140.38
List Price:  ₡32,398.39
You save:  ₡9,258
L1,325.33
List Price:  L1,855.57
You save:  L530.23
₲326,734.11
List Price:  ₲457,453.90
You save:  ₲130,719.79
$U2,022.96
List Price:  $U2,832.31
You save:  $U809.34
zł185.99
List Price:  zł260.40
You save:  zł74.41
Already have an account? Log In

Transcript

Microsoft Excel via these regression analyses. So we can go into this data analysis and we select regressions. So we go into Microsoft Excel, we select Iris dataset okay. So we select Iris data set, then we go into data analysis property, we select regressions there is a letter Y. So we select y be sureties there is a letter X okay then we have our labor's and constant is zero confidence interval, apo University. We do down here we can raise the residue.

Standardized residue as the Do my feet cross normal probability plot and then we can click OK. Then we have all the result here. So, we should have our degree of freedom sum of square means square. And we should have square roadies. So residue standard residue and we somehow are square. So, we have all these result here called equation say the right here coefficient, a standardized t statistic p value, lower 95% will be okay, upper 95% lower 95 upon it phi. So, this is all the regression analysis and yeah here is the R square adjusted R square So this is the regression in array

Sign Up

Share

Share with friends, get 20% off
Invite your friends to LearnDesk learning marketplace. For each purchase they make, you get 20% off (upto $10) on your next purchase.