We estimated a marketing mix model to predict Quantity (Sales) and observed the following results:

	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	4.98989	1.72015	2.901	0.00402 **
lln_quantity (Lag Quantity)	0.47912	0.03969	12.071	< 2e-16 ***
ln_price (Log Price)	-0.63935	0.25147	-2.543	0.01155 *
ln_digital (Log Digital Spend)	0.11872	0.04601	2.58	0.01038 *
ln_print (Log Print Spend)	0.08621	0.02151	4.008	7.89e-05 ***
ln_tv (Log TV Spend)	-0.01861	0.03833	-0.486	0.62761
factor(weekdays)Monday	-0.0588	0.08046	-0.731	0.46553
factor(weekdays)Saturday	0.07294	0.07891	0.924	0.3561
factor(weekdays)Sunday	-0.08334	0.07877	-1.058	0.29101
factor(weekdays)Thursday	-0.13113	0.07836	-1.673	0.09539 .
factor(weekdays)Tuesday	-0.04881	0.0768	-0.636	0.52557
factor(weekdays)Wednesday	-0.09761	0.08087	-1.207	0.22848

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Signif. codes: '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Based on this results table, examine the following statement: We are likely to sell the same quantity irrespective of the day of the week (with significance criteria set at 10% level and not including Friday)