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V125BC [204]
3 years ago
5

Look back at your data and your regression equation. (Sample data is shown to the right, with X= pressure and Y=volume.) click a

ll statements that are true.
Answered.

Chemistry
1 answer:
laiz [17]3 years ago
5 0
<span>Select the block of cells to be included in the scatter plot by clicking and dragging, then from the Insert ribbon under Chart drop down the Scatter or Bubble menu and select Scatter.  A chart will appear on the spreadsheet.
</span><span>
To set up a scatter plot in Excel, enter the pairs of data in two columns with each value of a pair on the same row.  By default, Excel considers the column on the left to contain the horizontal (X) values and the column on the right to contain the vertical (Y) values.

</span><span>If you click on the + sign at the upper right of the chart, a list of checkboxes will appear.  Check Axes, Axis Titles, and Trendline.  Uncheck everything else.  You should edit the Axis Titles to include the name of the factor and any units associated with it.  Double-click on the Axis numbers to bring up the Format Axis dialog, then click on the bar-graph icon to access Axis Options.  Set the bounds and units appropriately and set the tick marks to something sensible.</span><span>

</span>
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Dependent and independent variables are variables in mathematical modeling, statistical modeling and experimental sciences. Dependent variables receive this name because, in an experiment, their values are studied under the supposition or hypothesis that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of the experiment in question; thus, even if the existing dependency is invertible (e.g., by finding the inverse function when it exists), the nomenclature is kept if the inverse dependency is not the object of study in the experiment. In this sense, some common independent variables are time, space, density, mass, fluid flow rate[1][2], and previous values of some observed value of interest (e.g. human population size) to predict future values (the dependent variable)[3].

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Explanation:

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3 years ago
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Balanced

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Please help me by marking me brainliest. I'm one away :)

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