3. [25 marks] Some female psychology students were investigating whether intelligence depends on brain size. They each took a standard test that measured verbal IQ and also underwent an MRI scan to measure their brain size. The resulting data is below.
| IQ | BrainV | |
| 132 | 816.932 | |
| 132 | 951.545 | |
| 90 | 928.799 | |
| 136 | 991.305 | |
| 90 | 854.258 | |
| 129 | 833.868 | |
| 120 | 856.472 | |
| 100 | 878.897 | |
| 71 | 865.363 | |
| 132 | 852.244 | |
| 112 | 808.02 | |
| 129 | 790.619 | |
| 86 | 831.772 | |
| 90 | 798.612 | |
| 83 | 793.549 | |
| 126 | 866.662 | |
| 126 | 857.782 | |
| 90 | 834.344 | |
| 129 | 948.066 | |
| 86 | 893.983 |
The variables are:
IQ Result of the verbal IQ test. IQ is measured on an artificial index scale, usually meant to have an average value of 100.
BrainV Brain volume measured in thousands of ‘pixels’. The size of a pixel derives from the two-dimensional resolution of the MRI and the spacing of image ‘slices’. It can vary between scanners (and even between scans on the same scanner). The pixel size is the same for all scans in this study, but the standard volumetric equivalent (e.g., millilitres) is not known.



(c) As far as possible, assess the extent to which the model is appropriate to the data. [4]
(d) Leaving aside any problems identified in part (c), evaluate the evidence that verbal IQ is related to brain volume. Use a 5% significance level, and describe any relationship you find. [3]
| IQ (Y) | BrainV (X) | X - Mx | Y - My | (X - Mx)2 | (X - Mx)(Y - My) |
| 132 | 816.932 | -45.7225 | 22.55 | 2090.547 | -1031.0424 |
| 132 | 951.545 | 88.8905 | 22.55 | 7901.521 | 2004.4808 |
| 90 | 928.799 | 66.1445 | -19.45 | 4375.0949 | -1286.5105 |
| 136 | 991.305 | 128.6505 | 26.55 | 16550.9512 | 3415.6708 |
| 90 | 854.258 | -8.3965 | -19.45 | 70.5012 | 163.3119 |
| 129 | 833.868 | -28.7865 | 19.55 | 828.6626 | -562.7761 |
| 120 | 856.47 | -6.1845 | 10.55 | 38.248 | -65.2465 |
| 100 | 878.90 | 16.2455 | -9.45 | 263.9163 | -153.52 |
| 71 | 865.36 | 2.7055 | -38.45 | 7.3197 | -104.0265 |
| 132 | 852.244 | -10.4105 | 22.55 | 108.3785 | -234.7568 |
| 112 | 808.02 | -54.6345 | 2.55 | 2984.9286 | -139.318 |
| 129 | 790.619 | -72.0355 | 19.55 | 5189.1133 | -1408.294 |
| 86 | 831.772 | -30.8825 | -23.45 | 953.7288 | 724.1946 |
| 90 | 798.612 | -64.0425 | -19.45 | 4101.4418 | 1245.6266 |
| 83 | 793.549 | -69.1055 | -26.45 | 4775.5701 | 1827.8405 |
| 126 | 866.662 | 4.0075 | 16.55 | 16.0601 | 66.3241 |
| 126 | 857.782 | -4.8725 | 16.55 | 23.7413 | -80.6399 |
| 90 | 834.344 | -28.3105 | -19.45 | 801.4844 | 550.6392 |
| 129 | 948.066 | 85.4115 | 19.55 | 7295.1243 | 1669.7948 |
| 86 | 893.983 | 31.3285 | -23.45 | 981.4749 | -734.6533 |
| SS: 59357.8079 | SP: 5867.0995 |
Sum of X = 17253.09
Sum of Y = 2189
Mean X = 862.6545
Mean Y = 109.45
Sum of squares (SSX) = 59357.8079
Sum of products (SP) = 5867.0995
Regression Equation = ŷ = bX + a
b = SP/SSX = 5867.1/59357.81
= 0.09884
a = MY - bMX = 109.45 -
(0.1*862.65) = 24.1827
ŷ = 0.09884X + 24.1827
The value of R is 0.2549.
The value of R2, the coefficient of determination, is 0.065.


Excel Output
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.254932853 | |||||||
| R Square | 0.06499076 | |||||||
| Adjusted R Square | 0.013045802 | |||||||
| Standard Error | 21.52910266 | |||||||
| Observations | 20 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 579.9092977 | 579.9092977 | 1.25114664 | 0.278039633 | |||
| Residual | 18 | 8343.040702 | 463.5022612 | |||||
| Total | 19 | 8922.95 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 24.18349953 | 76.38157836 | 0.316614294 | 0.75517875 | -136.2882417 | 184.6552407 | -136.2882417 | 184.6552407 |
| BrainV (X) | 0.098841994 | 0.088366446 | 1.118546665 | 0.27803963 | -0.08680902 | 0.284493008 | -0.08680902 | 0.284493008 |


3. [25 marks] Some female psychology students were investigating whether intelligence depends on brain size. They each t...
3. [25 marks] Some female psychology students were investigating
whether intelligence depends on brain size. They each took a
standard test that measured verbal IQ and also underwent an MRI
scan to measure their brain size. The resulting data is below, file
named IQBrain.csv.
IQ
BrainV
132
816.932
132
951.545
90
928.799
136
991.305
90
854.258
129
833.868
120
856.472
100
878.897
71
865.363
132
852.244
112
808.02
129
790.619
86
831.772
90
798.612
83
793.549
126
866.662
126
857.782...
3. [25 marks] Some female psychology students were investigating
whether intelligence depends on brain size. They each took a
standard test that measured verbal IQ and also underwent an MRI
scan to measure their brain size.
The variables are:
IQ Result of the verbal IQ test. IQ is measured on an artificial
index scale, usually meant to have an average value of 100.
BrainV Brain volume measured in thousands of ‘pixels’. The size
of a pixel derives from the two-dimensional...
3. [25 marks] Some female psychology students were investigating
whether intelligence depends on brain size. They each took a
standard test that measured verbal IQ and also underwent an MRI
scan to measure their brain size. The resulting data is below, file
named IQBrain.csv.
IQ
BrainV
132
816.932
132
951.545
90
928.799
136
991.305
90
854.258
129
833.868
120
856.472
100
878.897
71
865.363
132
852.244
112
808.02
129
790.619
86
831.772
90
798.612
83
793.549
126
866.662
126
857.782...
Some female psychology students were investigating whether intelligence depends on brain size. They each took a standard test that measured verbal IQ and also underwent an MRI scan to measure their brain size. The resulting data are in the file IQBrain.csv. The variables are IQ Result of the verbal IQ test. IQ is measured on an artificial index scale, usually meant to have an average value of 100. BrainV Brain volume measured in thousands of ‘pixels’. The size of a...
can
i please get help on identifying my unknown and answering the
questions for each part. and please explain because i will be given
an exam like this and want to really understand.
n 122240 2019 (GMT-04 00h 94 92 90 88 86 84 82 80 78 76 74 72 70 68 66 64 1000 1500 2000 2500 3000 3500 4000 Wavenumbers (cm-1) Date: Tue Jun 11 12:22:40 2019 (GMT-04:00kaoutar elbar Scans: 8 Resolution: 4.000 onemea1% RH 003 Q1L 129...
Python Pandas, Series and DataFrame Question (NO Loops, No If Statements, No List Comprehensions) The file bank.csv contains data about bank customers. The last column ('Personal Loan') indicates whether or not the customer was approved for a personal loan or not. Write a function named loan_by_zip that accepts 3 parameters: a file name, a minimum number of records, and a percentage approval rate. The function should return a DataFrame of those zip codes for which we meet the minimum number...