It depends on how good your observations are. If your observations are really good then maybe they can lead up to a good prediction but make sure it all makes sense and you reread you obsrvations aloud plenty of times
It is generally not recommended to use bullet points in a persuasive essay because it may appear informal and detract from the formal tone of the writing. It is better to use clear and structured paragraphs to present arguments and evidence in a coherent manner. Bullet points are more suitable for listing information in a concise format, such as in a presentation or a report.
To do a presentation, first, organize your content in a clear structure. Start with an engaging introduction, cover key points, and end with a strong conclusion. Practice speaking confidently and use visuals to support your points. Finally, engage with your audience by encouraging questions and interactions.
When discussing psychology, it is important to use evidence-based research and theories to support your points. Focus on key concepts such as behavior, cognition, emotions, and mental processes. Be open to different perspectives and interpretations to have a well-rounded discussion.
#1 Answer: Cookies (25 points) #2 Answer: Popcorn (25 points) #3 Answer: Ice Cream (19 points) #4 Answer: Cracker (15 points) #5 Answer: Pizza (5 points) #6 Answer: Apple (2 points)
The best way to organize a division or classification paragraph is to start with a clear topic sentence that introduces the main category or division. Then, provide specific details or examples to support each category. Finally, end the paragraph with a concluding sentence that summarizes the main points discussed.
The prediction is based on a trend line that approximates the locations of the related points.
There is no specific good number since the reliability of a prediction depends on the spread of the scatter plot. If the plot is tightly packed along some line (straight or curved) then a small number of observations will suffice. If, on the other hand, the plot consists of points all over the place then even 100 points is not sufficient for making reliable predictions.
The answer is linear extrapolation.
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Paragraph 2 expands on the main idea introduced in the introduction by providing three key points that further support the initial concept. These points serve to explain and elaborate on the topic introduced in the introduction, adding depth and details to the overall discussion.
It's the fantasy leagues prediction of how many points that player will get that game. For Example: If the guru for that player is "26.7". They are predicting that player will get 26.7 fantasy points for your team.
A scatter graph on the data you already have, then place a regression line ( line of best fit) across the points and predict the information based on this line. It obviously isn't accurate and is only a prediction and if there is no correlation in the plotted points and no line of best fit can be placed on there can be no prediction made.
Explain what you want your audience to learn and Help your audience to follow the main points.
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the support base is the area where the where's the base of a thing and support point is the points where something is supported by.