A positive slope means that
two variables are positively related
—that is, when x increases, so does y, and when x decreases, y decreases also. Graphically, a positive slope means that as a line on the line graph moves from left to right, the line rises.
How do you know if a graph is positive?
A positive slope means that two variables are positively related—that is, when x increases, so does y, and when x decreases, y also decreases. Graphically, a positive slope means that as a line on the line graph moves from left
to right, the line rises
.
How do you know if a graph is positive or negative?
A positive slope means that two variables are positively related—that is, when x increases, so does y, and when x decreases, y also decreases. Graphically, a positive slope means that as a line on the line graph moves from left to right,
the line rises
.
How do you describe a graph?
In math, a graph can be defined as
a pictorial representation or a diagram that represents data or values in an organized manner
. The points on the graph often represent the relationship between two or more things. … We then represent the data using a bar graph.
How do you describe a line graph?
A line graph is
a graphical display of information that changes continuously over time
. Within a line graph, there are various data points connected together by a straight line that reveals a continuous change in the values represented by the data points.
How do you determine if Y intercept is positive or negative?
A
positive y-intercept means the line crosses the y-axis above the origin
, while a negative y-intercept means that the line crosses below the origin.
How do you show that a function is positive?
Test each of the regions, and if each test point has the same sign, that is the sign of the function. Something else you can do is take the absolute value of the function.
If |f| = f over the entire domain, then f is positive
. If |f| = -f over the entire domain, then f is negative.
How do you start to describe a graph?
- UP: increase / rise / grow / went up / soar / double / multiply / climb / exceed /
- DOWN: decrease / drop / fall / decline / plummet / halve / depreciate / plunge.
- UP & DOWN: fluctuate / undulated / dip /
- SAME: stable (stabilised) / levelled off / remained constant or steady / consistent.
What are 3 things a graph must have?
- A title which describes the experiment. …
- The graph should fill the space allotted for the graph. …
- Each axis should be labeled with the quantity being measured and the units of measurement. …
- Each data point should be plotted in the proper position. …
- A line of best fit.
What are the advantages of line graphs?
Line graphs are useful in that they
show data variables and trends very clearly
and can help to make predictions about the results of data not yet recorded. They can also be used to display several dependent variables against one independent variable.
How do you describe lines?
Lines can be horizontal, vertical or diagonal, straight, curved or free-form. They can be thick or thin, light or dark. Sometimes one line can be all of those things. Lines can be described in many ways —
dashed, dotted, rough, smooth, zig-zag, implied
.
What are the two types of line graph?
There are 3 main types of line graphs in statistics namely,
a simple line graph, multiple line graph, and a compound line graph
. Each of these graph types has different uses depending on the kind of data that is being evaluated.
What’s the y-intercept formula?
The y-intercept formula says that the y-intercept of a function
y = f(x)
is obtained by substituting x = 0 in it. Using this, the y-intercept of a graph is the point on the graph whose x-coordinate is 0. i.e., just look for the point where the graph intersects the y-axis and it is the y-intercept.
What happens when the y-intercept is 0?
If a line has no y-intercept, that means
it never intersects the y-axis
, so it must be parallel to the y-axis. This means it is a vertical line, such as . … This means it is a horizontal line, such as . This slope of this line is zero.
What does R 2 tell you?
R-squared will give you
an estimate of the relationship between movements of a dependent variable based on an independent variable’s movements
. It doesn’t tell you whether your chosen model is good or bad, nor will it tell you whether the data and predictions are biased.
