# data[].attributes.body
the above question is Correct or incorrect

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________ is useful measures of multicolinearity.

# data[].attributes.subject
________ is useful measures of multicolinearity.

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Chor Heng
Chor Heng
Calculate coefficient of determination. SST = 800, SSE = 100.
Calculate coefficient of determination. SST = 800, SSE = 100.
Shekinah Louise Henson
Shekinah Louise Henson
The range of value for R is between -1 and 1
Chor Heng
Chor Heng
R is betwen 1 and -1. 
Jeslin Goh
Jeslin Goh
The range of value r is between -1 and 1

Wan Qi
Wan Qi
Qns 1. The range of value for r is between -1 and 1.


Emily Ang
Emily Ang
The range of value for R will be between -1 and 1
Emanuel
Emanuel
the range of value for correlation is between -1 and 1
Chao Woon Hong
Chao Woon Hong
-10 to 10
Ian
Ian
R value range is
 between -1 and 1 
Ng Qi Xuan
Ng Qi Xuan
R will b

# data[].attributes.headline
JUNE Q2: Calculate coefficient of determination. SST = 800, SSE = 100.

# data[].attributes.subject
JUNE Q2: Calculate coefficient of determination. SST = 800, SSE = 100.

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1) The range of value for R is between -1 and 1
2) 0.875
3)  Variance Inflation Factors (VIFs)
4) Incorrect

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1. R is betwen 1 and -1.

2. Coefficient of determination 1 - SSE/SST = 0.875

3. (VIF)s
Variance Inflation Factors

4. Wrong

# data[].attributes.body
1.R range value is between -1 and 1
2. Coefficient of determination:
3.  Variance Inflation Factors
4. Incorrect

# data[].attributes.body
1. The range of value r is between -1 and 1.

2. Value if R^2 = 0.875

3.  Variance Inflation Factors (VIFs)

4. False

# data[].attributes.body
1. The range of value for r is between -1 and 1.
2. R^2 = 1- 100/800 = 7/8 (0.875)
3. Variance Inflation Factors (VIFs)
4. Incorrect.

# data[].attributes.body
1. The range of value for R will be between -1 and 1
2. Coefficient of determination: 1 - SSE/SST = 1 - 100/800 = 1 - 0.125 = 0.875
3.  Variance Inflation Factors
4. Incorrect

# data[].attributes.body
1. the range of value for correlation is between -1 and 1
2. 1 - 100/800 = 0.875
3. Variance Inflation Factors
4. Incorrect

# data[].attributes.body
1. R value range is
between -1 and 1
2. 0.875
3. Variance Inflation Factors
4. wron

# data[].attributes.body
1. R will be between -1 and 1
2. 0.875
3. Variance Inflation Factors
4. Not Correct

# data[].attributes.body
1) R is the range between -1 and 1.
2) 1 - 100/800 = 0.875
3) VIF - Variance Inflation  Factors.
4) Incorrect

# data[].attributes.body
the range is -1 to 1
r^2 = 1- sse/sst = 1-100/800 = 0.875
Variance Inflation Factor
wrong

# data[].attributes.body
1. The range value for correlation r is -1 to 1
2.  R^2 = 1 - SSE/SST = 1 - 1/8 = 0.875.
3. Variance Inflation Factors
4. Salah

# data[].attributes.headline
Assessing model fit: what is the range of value for correlation (r)

# data[].attributes.subject
Assessing model fit: what is the range of value for correlation (r)

# data[].attributes.body
1. R value will be between -1 and 1

2. R^2 = 0.875

3. Variance Inflation Factors (VIFs)

4.Incorrect

# data[].attributes.body
Q1 R is between -1 and 1.
Q2 0.875
Q3 Variance Inflation Factors (VIF)
Q4 Wrong

# data[].attributes.body
1. R value will be between -1 and 1.
2.  R^2 = 1-SSE/SST= 1-1/8= 7/8 OR 0.875
3. Variance Inflation Factors are useful measures of  multicolinearity .
4. Incorrect. R Square can be between 0 and 1

# data[].attributes.body
1. The range of R is between -1 to 1
2. R^2 = 1-SSE/SST = 1-1/8 = 7/8 (0.875)
3. Variance Inflation Factors (VIF)
4. Incorrect

# data[].attributes.body
1. R is between 1 and -1
2. 0.875
3. Variance Inflation Factors
4. incorrect

# data[].attributes.body
1. the range of value for correlation (r) is -1 to 1
2. 1 - sse/sst = 1 - 0.125 = 0.875
3. Variance Inflation Factors
4. false

# data[].attributes.body
1. R will be between -1 to 1
2. R^2 = 7/8 (0.875)
3. Variance Inflation Factors (VIFs)
4. Incorrect