Question

a line of best fit through a set of data is y= 35.763 - 1.744x. according...

a line of best fit through a set of data is y= 35.763 - 1.744x. according to this equation, what is the predict value of the drpendent variable when the independent variable has 110?
0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
a line of best fit through a set of data is y= 35.763 - 1.744x. according...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • According to this equation, what is the predicted value of the dependent variable when the independent variable has value 90?

    The line of best fit through a set of data isy=−28.768+1.521xy=-28.768+1.521xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 90?y =  Round to 1 decimal place.

  • 2. For the data plotted below, draw (visually) a best-fit line. Then write down an equation...

    2. For the data plotted below, draw (visually) a best-fit line. Then write down an equation for the best-fit line you have drawn. Finally, extrapolate (i.e. pred value when the independent variable is at 3.5. It is not necessary to calculate the least-squares best-fit line! lict) the dependent variable 3.5 2.5 1.5 0.5 0 0.5 1 1.522.5 3 3.5 3.5 T 2.5 1.5 0.5 1.5 2.5

  • Examine the scatter plot. a) Draw a line of best fit through the following data. [1]...

    Examine the scatter plot. a) Draw a line of best fit through the following data. [1] [1] b) Predict a correlation coefficient that would describe this data. c) Describe how the line of best fit would change without the influential point on the right d) The x-axis is amount of snowfall and the y-axis is cars on the road. Make a conclusion about this data, 100 98 96 8 24 2000 = 100 8 85 84 1966 1967 19es 1989...

  • MATH AND PHYSICS Approximating the equation of a line of best fit and making pre... The...

    MATH AND PHYSICS Approximating the equation of a line of best fit and making pre... The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 25 different months. (a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit. (b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of...

  • (d) Calculate the sum of the squares of the residuals. 4. Draw by hand a best-fit...

    (d) Calculate the sum of the squares of the residuals. 4. Draw by hand a best-fit line, and then find the line's equation for the data below. Finally predict the result of dependent variable when the independent variable is at 45. (It is not necessary to use the best-fit line equations of section 9.2 for this problem) 1800 1600 1400 1200 1000 800 400 t 200 10 15 2025 30 35 40 45

  • What is the value of the slope of the line of best fit? What does it...

    What is the value of the slope of the line of best fit? What does it specifically mean in relation to the variables you are analyzing? -What is the value of the y-intercept of the line of best fit? What does it specifically mean in relation to the variables you are analyzing? -Choose a value for your independent variable (x) that you would like to use for prediction purposes. Predict the value of ther output variable, y, that would correspond...

  • Linear Regression and Prediction perform a linear regression to determine the line-of-best fit. Use weight as...

    Linear Regression and Prediction perform a linear regression to determine the line-of-best fit. Use weight as your x (independent) variable and braking distance as your y (response) variable. Use four (4) places after the decimal in your answer. Sample size, n:     21 Degrees of freedom: 19 Correlation Results: Correlation coeff, r: 0.3513217 Critical r:           ±0.4328579 P-value (two-tailed): 0.11837 Regression Results: Y= b0 + b1x: Y Intercept, b0:      125.308 Slope, b1:            0.0031873 Total Variation:       458.9524 Explained Variation:   56.6471 Unexplained Variation: 402.3053...

  • Solve best-fit equation to derive an expression to convert absorbance values to concentrations Solve the best...

    Solve best-fit equation to derive an expression to convert absorbance values to concentrations Solve the best-fit equation you recorded in question 1, step c for "[dye)," to derive an expression to convert absorbance values to concentrations. Show your work below: Equation: 141986x +1.08 LALEI I piot absorbance (y-axis) versus concentration (x-axis) for the standard dye solutions from Table 7.8. Find the linear least-squares line describing the data. Do not force the y-intercept to be zero. c Write the equation and...

  • Using LINEST what is the y-intercept of the best fit line for this data? x y...

    Using LINEST what is the y-intercept of the best fit line for this data? x y 0.1 0.75 0.2 0.95 0.3 1.23 0.4 1.31 0.5 1.59 0.6 1.97 0.7 2.07 0.8 2.37 0.9 2.36 1 2.60

  • Let y = a + bx be the best-fit straight line for the data pairs (1,...

    Let y = a + bx be the best-fit straight line for the data pairs (1, 1), (1, 2), (2, 0). Find b.

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT