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Which of the following equations are linear? a. \(y=6 x+8\) b. \(y+7=3 x\) c. \(y-x=8 x^{2}\) d. \(4 y=8\)

Short Answer

Expert verified
Equations a, b, and d are linear; equation c is not linear.

Step by step solution

01

Understanding Linear Equations

A linear equation can be written in the form \(ax + by = c\), where \(a\), \(b\), and \(c\) are constants, and \(x\) and \(y\) are variables. Linear equations have no variables raised to a power higher than one.
02

Analyze Equation a

Evaluate the equation \(y = 6x + 8\). It is written in the form \(y = mx + c\), which is equivalent to a linear equation. Therefore, equation \(a\) is linear.
03

Analyze Equation b

Consider the equation \(y + 7 = 3x\). Rewriting it gives \(y = 3x - 7\), which fits the linear equation form \(y = mx + c\). So equation \(b\) is linear.
04

Analyze Equation c

Consider the equation \(y - x = 8x^2\). Rearranging gives \(y = x + 8x^2\), which includes a term \(8x^2\). Since \(x\) is squared, this is not a linear equation. Therefore, equation \(c\) is not linear.
05

Analyze Equation d

Look at the equation \(4y = 8\). This can be simplified to \(y = 2\) by dividing both sides by 4. It has no \(x\) term and remains a linear equation in \(y\). Thus, equation \(d\) is linear.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Variables
Variables are symbols used to represent numbers in equations and can often change their values. They are the placeholders for unknowns or quantities that might vary. In the context of linear equations, variables are commonly represented by letters like \(x\) and \(y\).

For example, in the equation \(y = 6x + 8\), \(x\) and \(y\) are variables. This means they can correspond to any number, forming a relationship between each other. The variable \(x\) is typically independent, meaning its value can be freely chosen or changed first. The variable \(y\) is dependent, meaning its value is determined by the choice of \(x\). This characteristic allows one to plot a straight line on a graph, which is a signature of linear equations.

When working with linear equations, always identify the variables first. This helps you understand what you’re solving for and can guide your approach to finding a solution.
Constants
Constants are fixed values that do not change within an equation. In linear equations, they represent the specific numbers added, subtracted, or multiplied with variables. Constants help define the position and slope of a line when graphing.

Consider the form \(y = mx + c\). Here, \(m\) and \(c\) are constants.
  • \(m\) is the slope, determining the line's steepness.
  • \(c\) is the y-intercept, indicating where the line crosses the y-axis.
Constants provide structure to equations, allowing us to make precise predictions about the graph's position and direction. For example, in \(y = 3x - 7\), the constant \(-7\) shifts the line down by 7 units on the y-axis.

Understanding constants is crucial because they influence how equations model real-world relationships. The value of a constant gives a sense of where to start and how the variable will behave as it changes.
Form of Linear Equations
Linear equations can be expressed in different forms, but one of the most common is the slope-intercept form \(y = mx + c\). This form is especially useful for easily graphing and understanding the relationships between variables.

The slope-intercept form reveals two key pieces of information:
  • The slope \(m\), which indicates how steep the line is and the direction it slants, either upwards or downwards.
  • The y-intercept \(c\), showing where the line crosses the y-axis.
For equations like \(a\) and \(b\), rearranging them shows they conform to the slope-intercept form, making it clear how they plot as lines.

Another common form is the standard form \(ax + by = c\). It is helpful for certain algebraic manipulations and comparisons. Being able to convert between different forms strengthens your ability to approach various mathematical problems with ease.
Equation Analysis
Equation analysis involves examining an equation to determine whether it matches the characteristics of a linear equation. This includes ensuring that variables only appear with an exponent of one and identifying constants appropriately.

For example, analyzing \(y = 6x + 8\) confirms it as linear, with \(m = 6\) and \(c = 8\). Each term fits the linear format, and the equation would graph as a straight line.

Conversely, for \(y - x = 8x^2\), the presence of \(8x^2\) indicates a non-linear equation due to the square of \(x\). Such an analysis is key in identifying the nature of equations and predicting their graphical representation.

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Most popular questions from this chapter

Use the following information to answer the next three exercises. A landscaping company is hired to mow the grass for several large properties. The total area of the properties combined is 1,345 acres. The rate at which one person can mow is as follows: \(\hat{y}=1350-1.2 x\) where \(x\) is the number of hours and \(\hat{y}\) represents the number of acres left to mow. How many acres will be left to mow after 100 hours of work?

Explain what it means when a correlation has an \(r^{2}\) of 0.72.

Use the following information to answer the next two exercises. An electronics retailer used regression to find a simple model to predict sales growth in the first quarter of the new year (January through March). The model is good for 90 days, where x is the day. The model can be written as follows: \(\hat{y}=101.32+2.48 x\) where \(\hat{y}\) is in thousands of dollars. What would you predict the sales to be on day 60?

If the level of significance is 0.05 and the \(p\) -value is \(0.04,\) what conclusion can you draw?

Table 12.20 shows the life expectancy for an individual born in the United States in certain years. $$\begin{array}{|c|c|}\hline \text { Year of Birth } & {\text { Life Expectancy }} \\ \hline 1930 & {59.7} \\ \hline 1940 & {62.9} \\ \hline 1950 & {70.2} \\ \hline 1950 & {71.5} \\ \hline 1987 & {75} \\ \hline 1987 & {75.7} \\ \hline 2010 & {78.7} \\ \hline\end{array}$$ a. Decide which variable should be the independent variable and which should be the dependent variable. b. Draw a scatter plot of the ordered pairs. c. Calculate the least squares line. Put the equation in the form of: \(\hat{y}=a+b x\) d. Find the correlation coefficient. Is it significant? e. Find the estimated life expectancy for an indidual born in 1950 and for one born in 1982 f. Why aren't the answers to part e the same as the values in Table 12.20 that correspond to those years? g. Use the two points in part e to plot the least squares line on your graph from part b. h. Based on the data, is there a linear relationship between the year of birth and life expectancy? i. Are there any outliers in the data? j. Using the least squares line, find the estimated life expectancy for an individual born in 1850. Does the least squares line give an accurate estimate for that year? Explain why or why not. k. What is the slope of the least-squares (best-fit) line? Interpret the slope.

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