2. What is your null hypothesis? (in words)
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- ^ Prev The table below gives the list price and the number of bids received for five randomly selected Items sold through online auctions. Using this data, consider the equation of the regression line, bo + b₁x, for predicting the number of bids an Item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars Number of Bids 28 33 36 42 45 1 7 8 9 10 Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places. Table Copy Data NextThe data show the chest sire and weight of several bears Find the regression equation, leting chest size be the independent(x)variable. Then find the best predicted we ght of a bear inith a chest sizo of 40 inches. Is the result close to the actual weight of 272 pounds? Use a signifcance level of 0.05 8 Click the icon to verw the critical values of the Pearson correlation coefficient . What is the regrestion equation? \[ \hat{y}=\text {. K(Round ta one decimal place as needed) } \]*The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. *Age Bone Density33 35243 33259 32464 32265 314
- Apply the Regression Model and find out b0 and b1, additionally, try to find out Karl Person’s Correlation Coefficient. Write the interpretation covering correlation and estimated quantities in regression analysis (b0 and b1 only). The below-given table shows the Region wise sales of Govind Chips, the data is collected for 26 districts of Gujarat. The reference period of this data is 2019-2020. Sales figures are in lakhs and spending on the advertisement is also given in Lakhs. District Sales (00,000' INR) Amount spending on Advertisement (00,000' INR) Kachchh 40 3.6 Banas Kantha 19 2.1 Patan 20 2.2 Mahesana 30 2.5 Sabar Kantha 27 2.3 Gandhinagar 50 6 Ahmadabad 49 5 Surendranagar 26 2.3 Rajkot 45 3.7 Jamnagar 48 3.8 Porbandar 14 1.7 Junagadh 44 3.6 Amreli 32 2.8 Bhavnagar 29 2.3 Anand 33 3 Kheda 14 1.8 Panch Mahals 45 3.9 Dohad 13 1.5…researcher computes the correlation coefficient r= -0.1389 for an explanatory and response variable. What proportion of the changes in the response variables value is accounted for by the change in the explanatory variable's value? (Give your answer to four decimal places)The Average final score was 78, the average midterm score was 80. The standard deviation for the average final midterm score was 4.5 and the standard deviation for the average midterm score was 5.5. The correlation coefficient is 0.76 Find the least squares regression line. Supposed that wanted to find to predict the final exam score based the midterm score
- I need help on how to find and work with the Linear Correlation Coefficient (r)Where does the spurious correlation exist?The ages (in years) of 10 men and their systoluc blood pressures (in millimeters of mercury) are shown in thr attached data table with a sample correlation coefficient r of 0.904. Remove the data entry for the man who is 49 years old and has a systolic blood pressure of 198 millimeters of mercury from the data set and find the new correlation coefficient. Describe how this affecys the correlation coefficient r. Ages-18, 26,37,45,49,65,72,30,58,23 Systoluc blood pressure, y-109,121,141,130,198,183,199,132,176,118 The new correlation coefficient r going from 0.904 to
