Cars depreciate over time. the data was collected on the asking prices (in thousands of dollars) of a certain type of car listed for sale by individuals in a newspaper and the age of the vehicle (in years).using the information from previous question, choose the best alternative the answer the questions: i. the log equation implies that price changes more rapidly among newer used cars, then slows as cars age. ii. the logarithmic regression has a larger r2 and a smaller se of the regression line. the log equation is a better fit because implies less unexplained variation. iii. the log equation implies that price changes more rapidly among older used cars, and remains nearly static among newer used cars. iv. except for the log transformation, none of the transformations were able to reduce the standard error of the regression line. a.i, ii and iv are trueb. only i and iv are truec. all are trued. all are false

Prepare the operating activities section—indirect method.(lo 4), apthe income statement of paxson company is presented here.paxson companyincome statementfor the year ended november 30, 2014sales revenue $7,600,000cost of goods sold beginning inventory$1,900,000 purchases4,400,000goods available for sale6,300,000 ending inventory1,600,000total cost of goods sold 4,700,000gross profit 2,900,000operating expenses selling expenses450,000 administrative expenses700,0001,150,000net income $1,750,000additional information: prepare the operating activities section—indirect 1. accounts receivable decreased $380,000 during the year, and inventory decreased $300,000.2. prepaid expenses increased $150,000 during the year.3. accounts payable to suppliers of merchandise decreased $350,000 during the year.4. accrued expenses payable decreased $100,000 during the year.5. administrative expenses include depreciation expense of $110,000.instructionsprepare the operating activities section of the statement of cash flows for the year ended november 30, 2014, for paxson company, using the indirect method.net cash provided $1,940,000