---
date_created: 2023-07-11
date_modified: 2023-07-18
---

> [!note] Note
> This this page is used to view markdown formatting and can be deleted if it's not needed.

```dataviewjs
dv.view("toc", {"startingLevel": 2, "addHeader": true})
```

# Header 1

## Header 2

### Header 3

#### Header 4

##### Header 5

###### Header 6

---
## Paragraph text

Paragraph text

**Paragraph bold text**

*Paragraph italic text*


**Test**

---
## Lists
**Bulleted List**
- List item 1
- List item 2
	- List item 2.1
	- List item 2.2
- List item 3

**Numbered List**
1. List item a
2. List item b
	1. List item b1
	2. List item b2
3. List item c

**Task List**
- [x] Task 1 ✅ 2023-07-14
- [x] Task 2 ✅ 2023-07-23
	- [x] Nested task 2.1 ✅ 2023-07-23
	- [x] Nested task 2.2 ✅ 2023-07-14
- [x] Task 3 ✅ 2023-07-23

---
## Tags
Tag: #dashboard #notes

---

## Links
Internal link: [[Dashboard]]
External link: [google.com](https://www.google.com/) 

---

## Tables

| First name | Last name | Email                      |
| ---------- | --------- | -------------------------- |
| John       | Doe       | john.doe@example.com       |
| Muffin     | Poppies   | muffin.poppies@example.com |
| Jane       | Doe       | jane.doe@example.com       |

---

## Pictures

![[example-image-02.png| 400]]

![[example-image-02.png| center | 400]]

> [!blank-container|center] Relationship of Data, Information and Intelligence
> ![[example-image-01.png| 464]]
> *Example of [simple linear regression](https://en.wikipedia.org/wiki/Simple_linear_regression "Simple linear regression"), which has one independent variable*


---
## Code

**Inline Code**
The variable `myvar` is set to the value of `100`.

**Code Block**

```python
import numpy as np
def calc(a):
	return np.sqrt(a)*3

test = calc(12)
```

*This is my code*

## Math and Formulas

$$g=g_0 \frac{R^2}{\left( R + z \right)^2} = \frac{g_0}{\left(1 + z/R \right)^2} $$

Where,
$g$ = Relative gravity at specified distance.
$g_0$ = [[Surface Gravity |Surface gravity of object]].
$R$ = Radius of the object. (typically equatorial radius of the body).
$z$ = Distance above the object's surface.


## Callouts

> [!note] Note
> This is a note callout...


## Inline images

> [!blank-container|right-medium] Relationship of Data, Information and Intelligence
> ![[example-image-01.png|right-medium | 464]]
> *Example of [simple linear regression](https://en.wikipedia.org/wiki/Simple_linear_regression "Simple linear regression"), which has one independent variable*

The **general linear model** or **general multivariate regression model** is a compact way of simultaneously writing several [multiple linear regression](https://en.wikipedia.org/wiki/Multiple_linear_regression "Multiple linear regression") models. In that sense it is not a separate statistical [linear model](https://en.wikipedia.org/wiki/Linear_model "Linear model"). The various multiple linear regression models may be compactly written as $Y=XB + U$

The general linear model incorporates a number of different statistical models: ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, _t_-test and _F_-test. The general linear model is a generalization of multiple linear regression to the case of more than one dependent variable. If **Y**, **B**, and **U** were column vectors, the matrix equation above would represent multiple linear regression.

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Risus in hendrerit gravida rutrum. Tempor orci eu lobortis elementum. Tellus integer feugiat scelerisque varius morbi enim nunc. Tellus orci ac auctor augue mauris augue neque. A erat nam at lectus urna duis convallis convallis. At erat pellentesque adipiscing commodo elit at imperdiet dui. Elementum curabitur vitae nunc sed velit dignissim sodales ut eu. Amet porttitor eget dolor morbi non arcu risus quis. Mauris pellentesque pulvinar pellentesque habitant morbi. Ante in nibh mauris cursus mattis molestie a iaculis. Ullamcorper a lacus vestibulum sed arcu non. Est ullamcorper eget nulla facilisi etiam dignissim diam. Ullamcorper a lacus vestibulum sed arcu non odio euismod lacinia. Ultrices dui sapien eget mi proin sed libero enim.

> [!blank-container|left-medium] Relationship of Data, Information and Intelligence
> ![[example-image-01.png|left-medium | 464]]
> *Example of [simple linear regression](https://en.wikipedia.org/wiki/Simple_linear_regression "Simple linear regression"), which has one independent variable*

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Urna neque viverra justo nec ultrices dui. Orci nulla pellentesque dignissim enim sit. Vivamus arcu felis bibendum ut tristique et. Est ullamcorper eget nulla facilisi etiam. Sit amet consectetur adipiscing elit pellentesque habitant morbi. Aliquet nec ullamcorper sit amet risus nullam eget felis eget. Bibendum neque egestas congue quisque egestas diam in arcu. Non pulvinar neque laoreet suspendisse interdum consectetur. Vitae et leo duis ut diam quam. Nibh praesent tristique magna sit amet purus gravida. Velit ut tortor pretium viverra suspendisse.