<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Student_ID</th>
      <th>Age</th>
      <th>Gender</th>
      <th>University_Year</th>
      <th>Sleep_Duration</th>
      <th>Study_Hours</th>
      <th>Screen_Time</th>
      <th>Caffeine_Intake</th>
      <th>Physical_Activity</th>
      <th>Sleep_Quality</th>
      <th>Weekday_Sleep_Start</th>
      <th>Weekend_Sleep_Start</th>
      <th>Weekday_Sleep_End</th>
      <th>Weekend_Sleep_End</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1</td>
      <td>24</td>
      <td>Other</td>
      <td>2nd Year</td>
      <td>7.7</td>
      <td>7.9</td>
      <td>3.4</td>
      <td>2</td>
      <td>37</td>
      <td>10</td>
      <td>14.16</td>
      <td>4.05</td>
      <td>7.41</td>
      <td>7.06</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2</td>
      <td>21</td>
      <td>Male</td>
      <td>1st Year</td>
      <td>6.3</td>
      <td>6.0</td>
      <td>1.9</td>
      <td>5</td>
      <td>74</td>
      <td>2</td>
      <td>8.73</td>
      <td>7.10</td>
      <td>8.21</td>
      <td>10.21</td>
    </tr>
    <tr>
      <th>2</th>
      <td>3</td>
      <td>22</td>
      <td>Male</td>
      <td>4th Year</td>
      <td>5.1</td>
      <td>6.7</td>
      <td>3.9</td>
      <td>5</td>
      <td>53</td>
      <td>5</td>
      <td>20.00</td>
      <td>20.47</td>
      <td>6.88</td>
      <td>10.92</td>
    </tr>
    <tr>
      <th>3</th>
      <td>4</td>
      <td>24</td>
      <td>Other</td>
      <td>4th Year</td>
      <td>6.3</td>
      <td>8.6</td>
      <td>2.8</td>
      <td>4</td>
      <td>55</td>
      <td>9</td>
      <td>19.82</td>
      <td>4.08</td>
      <td>6.69</td>
      <td>9.42</td>
    </tr>
    <tr>
      <th>4</th>
      <td>5</td>
      <td>20</td>
      <td>Male</td>
      <td>4th Year</td>
      <td>4.7</td>
      <td>2.7</td>
      <td>2.7</td>
      <td>0</td>
      <td>85</td>
      <td>3</td>
      <td>20.98</td>
      <td>6.12</td>
      <td>8.98</td>
      <td>9.01</td>
    </tr>
  </tbody>
</table>
</div>

   Student_ID  Age Gender University_Year  Sleep_Duration  Study_Hours  \
0           1   24  Other        2nd Year             7.7          7.9   
1           2   21   Male        1st Year             6.3          6.0   
2           3   22   Male        4th Year             5.1          6.7   
3           4   24  Other        4th Year             6.3          8.6   
4           5   20   Male        4th Year             4.7          2.7   

   Screen_Time  Caffeine_Intake  Physical_Activity  Sleep_Quality  \
0          3.4                2                 37             10   
1          1.9                5                 74              2   
2          3.9                5                 53              5   
3          2.8                4                 55              9   
4          2.7                0                 85              3   

   Weekday_Sleep_Start  Weekend_Sleep_Start  Weekday_Sleep_End  \
0                14.16                 4.05               7.41   
1                 8.73                 7.10               8.21   
2                20.00                20.47               6.88   
3                19.82                 4.08               6.69   
4                20.98                 6.12               8.98   

   Weekend_Sleep_End  
0               7.06  
1              10.21  
2              10.92  
3               9.42  
4               9.01  

Student_ID             0
Age                    0
Gender                 0
University_Year        0
Sleep_Duration         0
Study_Hours            0
Screen_Time            0
Caffeine_Intake        0
Physical_Activity      0
Sleep_Quality          0
Weekday_Sleep_Start    0
Weekend_Sleep_Start    0
Weekday_Sleep_End      0
Weekend_Sleep_End      0
dtype: int64

(Gender
 Male      0.372
 Female    0.332
 Other     0.296
 Name: proportion, dtype: float64,
 University_Year
 3rd Year    0.264
 2nd Year    0.262
 1st Year    0.250
 4th Year    0.224
 Name: proportion, dtype: float64)

(2.525146313730512, -0.04851643053805188)

Data Quality Assessment: Missing Values and Distribution Analysis

please look for any mossing values and see if my data is balanced or unbalnced

Build a regression model and evaluate the results